Journal of Intelligent & Fuzzy Systems - Volume Pre-press, issue Pre-press

Authors: Karaşan, Ali | Kahraman, Cengiz

Article Type: Research Article

Abstract: Location selection for a freight village is extremely important since it has strong impacts on quality of life such as reduction of traffic congestion, reduction of carbon emission, and effective use of lands. The inclusion of such criteria in a location selection requires the fuzzy sets to be used in the decision making methodology. In this paper, we propose a novel integrated fuzzy decision model for the location selection of freight villages. In this integrated methodology, we use DEMATEL for determining the most effective criteria and their inner and outer dependencies; ANP for weighting the determined criteria; and TOPSIS for …finding the best location alternative. The proposed model is applied to a case study for the city of Istanbul in Turkey. Show more

Keywords: Intuitionistic fuzzy sets, DEMATEL, ANP, TOPSIS, freight village

DOI: 10.3233/JIFS-17169

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2017

Authors: You, Xinshang | Yang, Qing

Article Type: Research Article

Abstract:   A big group decision making problem is investigated, under the intuitionistic fuzzy environment and multiple constrains. Firstly, this paper proposes a distance formula between different intuitionistic fuzzy numbers, to measure their dissimilarity degree. A numerical example is introduced to demonstrate the advantages of the proposed distance measure over the others’ formula. Secondly, an optimizing model is constructed to calculate the criteria’s weight values, making the proposed method suitable for weight unknown problems. Thirdly, clustering idea is introduced to handle big data caused by big decision group. Here, a clustering algorithm is given which could classify the participating people. Meanwhile, …computer experiments is utilized to handle the calculation question with respect to big data. Clustering result is based on many times of evolutions, which are obtained by a computer procedure. To derive final ranking results, an extended TOPSIS method is applied depending on the proposed distance measure and clustering results. In summary, a decision making algorithm is clearly shown in form of flow chart. Finally, an experimental analysis for selecting proper library construction is given to illustrate the efficiency and reasonableness of the proposed method. Show more

Keywords: Big group decision making, Intuitionistic fuzzy number, Clustering analysis, TOPSIS method, public participation

DOI: 10.3233/JIFS-18615

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2018

Authors: Karaaslan, Faruk

Article Type: Research Article

Abstract: In this study, hesitant fuzzy graph (HFG) structure and some concepts related to HFGs such as homomorphism, isomorphism, weak isomorphism and co-weak isomorphism are introduced. Also, operations of Cartesian product, direct product, lexicographical product and strong product between two HFGs are defined and given their examples. Finally, a decision making algorithm and an application of HFGs in decision making are given.

Keywords: Hesitant fuzzy set, hesitant fuzzy graph, product operations, homomorphism, isomorphism, decision making

DOI: 10.3233/JIFS-18865

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Gulistan, Muhammad | Beg, Ismat | Yaqoob, Naveed

Article Type: Research Article

Abstract: There are many different techniques used so for in decision making problems. Some researchers used fuzzy sets, some used soft sets and some used combination of fuzzy sets with soft sets in order to handle the imprecise information. On the other hand, matrices play very important role in handling such problems. Different researchers used fuzzy matrices and fuzzy soft matrices in decision making problems. Some others generalized tools are Molodtsov’s soft sets, presented in 1999, Smarandache’s neutrosophic sets, in 1999, Jun’s cubic sets, in 2012 and Jun’s neutrosophic cubic sets in 2017. Our aim in this paper is to combine …the above mentioned generalized tools and develop a new generalize approach namely neutrosophic cubic soft matrices. We first introduce the idea of Neutrosophic cubic soft aggregation operators with the help of neutrosophic cubic soft sets and then present the notion of neutrosophic cubic soft matrices and at the end, we present a max-min decision making problem using neutrosophic cubic soft matrices. Show more

Keywords: Neutrosophic sets, cubic sets, soft sets, neutrosophic cubic soft sets, neutrosophic cubic soft matrices

DOI: 10.3233/JIFS-181296

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: E, Cheng-Guo | Li, Quan-Lin | Li, Shiyong

Article Type: Research Article

Abstract: In this paper, we employ a cooperative game to study coalition performance of a parallel service system with nonexponential service times, which is comprised of n independent parallel M/E k /1 queues, where the service times of the coalitions are designed as a closed-form framework. For such a queueing cooperative game, we use the Erlang service time distributions to make analysis of various coalitions more feasible, and specifically, it is easy to set up a characteristic function for the coalitions under an Erlang closed-form framework. Once the characteristic function is given in the queueing cooperative game, we …compute the Shapley value, the Owen value and the core whose aim is to suitably provide the cost allocation for the coalitions. Furthermore, we use numerical examples to give useful observation on the cost allocations for the coalitions through the Shapley value, the Owen value and the core. Show more

Keywords: Parallel service system, cooperative game, coalition, Shapley value, Owen value

DOI: 10.3233/JIFS-18101

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Qian, Junbing | Bao, Liping | Pan, Nan | Ji, Chuankun

Article Type: Research Article

Abstract: This paper presents a method to suppress the thrust disturbance for the permanent magnet linear synchronous motor (PMLSM), which is used as an actuator in an active vibration absorber. Because the characteristics of the working transmission structure of the PMLSM are relatively special, the thrust ripple and load disturbance will yield in the operation, and they will directly affect the control accuracy and positioning precision. Simultaneously, the thrust of the PMLSM directly acts on the object, and the thrust disturbance of the PMLSM will appear in the payload of the vibration absorber. Based on the actuator, the Proportional-integral-derivative (PID) control …is investigated, and the transfer function of the actuator is obtained. Then, the thrust disturbance of the PMLSM is theoretical studied by analyzing the current flows through the PMLSM. A new method of trajectory overlay planning is presented, where the original input is divided into two inputs with different amplitudes and they suppress each other. Based on the method, the PID control can restrain the disturbance to achieve a predesigned output. The effectiveness of the proposed method is verified by simulation and experimental results. Show more

Keywords: PMLSM, actuator, thrust disturbance, active vibration absorber, PID control

DOI: 10.3233/JIFS-169893

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Ding, Quanyu | Wang, Ying-Ming

Article Type: Research Article

Abstract: In multi-attribute decision-making problems, vague decision information is well-represented by intuitionistic fuzzy sets. However, many of the scoring functions of existing methods cannot always obtain a ranking for the alternatives. In this paper, a TOPSIS-based decision-making method is proposed for multi-attribute decision-making problems in which the attribute weights are unknown and the decision information is in the form of intuitionistic fuzzy numbers. First, a revised definition of the scoring function is introduced and used to solve the intuitionistic fuzzy entropy, which is then used to objectively determine the attribute weights. Second, intuitionistic fuzzy-weighted geometric operators are used to integrate the …information. The positive and negative ideal solutions of the comprehensive attribute values are determined, and the similarities between each alternative and the positive and negative ideal solutions are calculated. Finally, the alternatives set is ranked by comparing the relative closeness of the alternatives. This proposed method increases the range of applications of the traditional entropy-weighted method. Moreover, it does not require the decision-maker to specify the attribute weights in advance. The results hence tend to be more objective. Examples comparing this method with existing TOPSIS-based methods illustrate its practicality. Show more

Keywords: Score function, fuzzy entropy, TOPSIS

DOI: 10.3233/JIFS-18963

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Khalil, Ahmed Mostafa | Li, Sheng-Gang | You, Fei | Ma, Sheng-Quan

Article Type: Research Article

Abstract:  The aim of this paper is to correct the assertions (3) and (4) of Proposition 3.6 proposed by Alkhazaleh [Journal of Intelligent and Fuzzy Systems 32 (2017) 4311-4318]. Every notions involved are extend to the arbitrary set case in a clear, rigorous, and non-burdensome manner. A counterexample is given to illustrate the flaw of the assertions. Then we introduce two new notions describing ‘subset’ of n -valued refined neutrosophic soft sets (n -VRNSs for short) and ‘equal’ of n -VRNSs, and give some examples and related propositions. Finally, we use these results to remedy the flaw of the assertions, and …to improve the work of Alkhazaleh. Show more

Keywords: Neutrosophic set, soft set, neutrosophic soft set, n-valued refined neutrosophic soft set

DOI: 10.3233/JIFS-18647

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2018

Authors: Zhang, Qinghua | Liu, Kaixuan | Feng, Lin

Article Type: Research Article

Abstract: Rough set theory proposed by professor Pawlak in 1982 is an important tool to solve uncertain problems. In order to make rough sets deal with uncertain problems better, by considering the stringent notions of mathematical equality and inclusion, the definitions of rough equality and rough inclusion were introduced by Pawlak. But the researches of rough equality and rough inclusion are on a certain granularity space. In this paper, some change rules will be given with respect to the relations of rough equality and rough inclusion between two uncertain target sets in multi-granulation spaces, and the similarity degree between two roughly …equal sets is proposed to describe the similarity of two uncertain sets in multi-granulation spaces. In order to describe two uncertain sets which are rough equality by an approximation set at the same time, the definitions of optimistic λ -approximation set and pessimistic λ -approximation set will be defined from the points of optimism and pessimism, and some properties of them are discussed in detail. Show more

Keywords: Rough set, rough equality, rough inclusion, similarity, multi-granulation spaces, approximation set

DOI: 10.3233/JIFS-181221

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Lu, Guang-Qing | Čereška, Audrius | Augustinavičius, Giedrius | Maskeliunas, Rimas | Ragulskis, Minvydas

Article Type: Research Article

Abstract: A novel planar precise positioning stage on the rotating platform for calibration on raster scales of the rotary encoder is proposed in this paper. The monolithic structure is constructed with a flexible element and two ultra-fine adjustment screws. The structure for required motion is designed and optimized by software package of Solid Works Simulation, and then their performances are evaluated using numerical modelling approach. The mathematical model is then verified by resorting to finite element analysis (FEA) and experiment. The established analytical FEA models are helpful for optimizing a reliable architecture and improving performance of the precise positioning system.

Keywords: Positioning stage, flexible element, finite element analysis, simulation

DOI: 10.3233/JIFS-169894

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2018

Authors: Liu, Hui | Zhao, Bin

Article Type: Research Article

Abstract: In order to avoid combinatorial rule explosion in fuzzy reasoning, distributive laws related to fuzzy implications and aggregation functions have been widely studied in recent years. In 2017, Qiao and Hu investigated the distributivity equation I (x , O 1 (y , z )) = O 2 (I (x , y ), I (x , z )), when O 1 and O 2 are additively generated overlap functions and I is an unknown function. In this paper, this kind of distributivity equation continues to be studied at the …situation that both O 1 and O 2 are multiplicatively generated overlap functions and I is a continuous function. Unfortunately, there is no continuous solution for this distributivity equation that is fuzzy implication, but a characterization for the case that I is continuous except for the point (0, 0) is given. More importantly, some solutions to the system of functional equations consisting of I (x , O 1 (y , z )) = O 2 (I (x , y ), I (x , z )) and I (x , y ) = I (N (y ), N (x )) are characterized. Finally, considered any other overlap functions, sufficient and necessary conditions, under which the previous distributivity equation holds when O 1 is an idempotent overlap function, O 2 is an Archimedean overlap function and I is an unknown function, are given. Meanwhile, some solutions to the system of functional equations are also presented. Show more

Keywords: Overlap functions, fuzzy implications, distributivity equations, contrapositive symmetry equations

DOI: 10.3233/JIFS-181279

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Wen, Bor-Jiunn | Syu, Kai-Chen | Kao, Chia-Hung

Article Type: Research Article

Abstract: In this study, a four-degree of freedom (4-DOF) robot arm uses an innovative two-dimensional vision sensing method to grip a moving target on a moving platform. This study utilizes forward and inverse kinematics to establish a dynamic model of the 4-DOF robot arm. A computer as a controller and a single charge-coupled device (CCD) calculates the two-dimensional vision sensing method and sends commands to an Arduino Uno microcontroller to drive the robot arm. According to simulation results of transient and steady states in MATLAB SimMechanics, the response of the dynamic proportional-fuzzy controller is better than the response of proportional–integral–derivative controller. …To demonstrate a precise control of the point-contact grip, this study utilizes a ping pong ball as a target on a moving platform. Using the dynamic proportional-fuzzy controller based on the two-dimensional vision sensing method, the 4-DOF robot arm can position, grip, and carry a moving ping pong ball to a designated place in three-dimensional space, which breaks through the previous two-dimensional limitation using a single CCD. This breakthrough can reduce the weight and cost of the robot arm. Therefore, this study aims to utilize the technology to grip moving targets on a moving platform for manpower cost reduction in the industry or agriculture domain in the future. Show more

Keywords: Four-degree of freedom robot arm, two-dimensional vision sensing method, forward and inverse kinematics, dynamic proportional-fuzzy controller, two-dimension limitation using a single CCD

DOI: 10.3233/JIFS-169874

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Kutlu Gündoğdu, Fatma | Kahraman, Cengiz

Article Type: Research Article

Abstract: All the extensions of ordinary fuzzy sets with three dimensional membership functions such as intuitionistic fuzzy sets (IFS), intuitionistic fuzzy sets of second type (IFS2), and neutrosophic fuzzy sets (NFS) aim at defining the judgments of decision makers/ experts with a more detailed description. Introduction of generalized three dimensional spherical fuzzy sets (SFS) including some essential differences from the other fuzzy sets is presented in this paper. The new type of fuzzy sets is based on the spherical fuzzy distances which have been already defined in the literature. Arithmetic operations involving addition, subtraction and multiplication are presented together with their …proofs. Aggregation operators, score and accuracy functions are developed. The multi-criteria decision making method TOPSIS is extended to spherical fuzzy TOPSIS and an illustrative example is presented. Additionally, a comparative analysis with intuitionistic fuzzy TOPSIS (IF-TOPSIS) is given. Show more

Keywords: IFS, IFS2, NFS, spherical fuzzy sets, decision making, TOPSIS, distance measurement, ideal solution

DOI: 10.3233/JIFS-181401

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2018

Authors: Lee, Jae Kang | Kim, Jung Ok

Article Type: Research Article

Abstract: This study reviewed efficient bridge management using UAVs (Unmanned Arial Vehicles) that have much potential for facility maintenance such as the possibility of regular inspection on inaccessible parts of bridges, easy operation regardless of the operators’ specialty, and economic maintenance. For this study, images were obtained from a UAV and a 3D viewer was created with them for the work efficiency of bridge inspectors, so that the inspectors can see and check inaccessible areas regardless of inspector’s location. It compared various existing inspection methods for problems such as cracks, efflorescence and leakage with the UAV inspection method to analyze the …work efficiency as well as sustainable economic benefit. The main purpose of this study was to figure out whether the proposed inspection using the images from the UAV and 3D viewer can replace the existing inspection methods that cannot be performed easily and analyze the economic benefit of the new method. The study result showed that the UAV image-based bridge maintenance and inspection is possible even though it was found inefficient when images of uneven quality were provided depending on operation of the UAV. Therefore, a UAV operation manual that can help generate images of even quality must be produced. Show more

Keywords: UAV photogrammetry, bridge maintenance and inspection, inspection efficiency, 3D viewer

DOI: 10.3233/JIFS-169873

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, 2018

Authors: Qi, Min | Yang, Zhanpeng | Ren, Wenjuan | Wang, Hongqi

Article Type: Research Article

Abstract: The Lorentzian manifold theory is an important research object in mathematical physics. In this paper, we propose four generalized Lorentzian-like knowledge measures deduced by the Lorentzian inner product for intuitionistic fuzzy sets. Some theorems are given to show the properties of the constructed knowledge measures. Compared with some other knowledge measures, we point out that there exists some counterexamples for some knowledge measures in the frame of the axiom of entropy measure for intuitionistic fuzzy set defined by Szmidt and Kacprzyk. In order to reduce counterexamples, we give some modified orders which extend the definition of the classical order ⪯ …in the axiom. And the numerical experiments show that the modified orders are more general than the order ⪯ in a sense, such as the order ≾ can break the constraint that the two intuitionistic fuzzy sets with the order ⪯ must fall in the either side of the line y = x . It is noteworthy that these binary relations are not strict partially ordered relations, and the problem, constructing a universal partial order, is still open. At the end of the paper some numerical experiments show that the proposed knowledge measures work well on different datasets. Show more

Keywords: Intuitionistic fuzzy set, Lorentzian knowledge measure, order set

DOI: 10.3233/JIFS-18265

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Shieh, Cheng-Shion

Article Type: Research Article

Abstract: In this paper, a hill-climbing method is adopted to control the output of full bridge circuit to achieve desired constant voltage/current output. A novel technology also is presented to control the rising time of the DC converter output. The hardware implementation of this digital control is based on the Field Programmable Gate Array (FPGA) digital chip. The proposed hill-climbing control algorithm can automatically adjust the Pulse Width Modulation (PWM) control parameter to handle the DC converter output approaching desired one. High frequency power supply with DC switching circuit has been paying more attention to its small size, light weight, and …small electromagnetic interference. Digital control has many different control modes than continuous circuit one, and digital control can be updated at any control mode, unlike continuous circuit design cannot be changed once it is completed. That is, the merit of digital control is flexible and programmable which is why the FPGA digital control used in this paper to control the DC switching circuit. We obtain the FPGA execution code by establishing its corresponding Matlab/Simulink simulation model. After meeting simulation test, the Matlab/Simulink model can be directly transformed into Hardware Description Language (HDL) code. This greatly saving the time of writing HDL code which often is a barrier to the electrical engineer. Finally, a high power, 7.2 KW, DC-DC converter experiment is presented to confirm the feasibility of the proposed control method and design procedure. Show more

Keywords: Hill-climbing method, full bridge circuit, FPGA (Field Programmable Gate Array) digital control, PWM (Pulse Width Modulation)

DOI: 10.3233/JIFS-169866

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Sun, You-Gang | Xu, Jun-Qi | Chen, Chen | Lin, Guo-Bin

Article Type: Research Article

Abstract: The magnetic levitation systems of maglev vehicles face the problems of open-loop instability, strong nonlinearity, model uncertainty, and large external disturbances. In order to solve the problems of model uncertainty and exogenous disturbances simultaneously, a T-S fuzzy model of magnetic levitation system with exogenous disturbances and model uncertainties is constructed to obtain an overall control model. A fuzzy H ∞ robust state feedback controller for magnetic levitation systems is designed based on parallel distribution compensation (PDC) design method and the proposed T-S model. The quadratic stability of the closed-loop magnetic levitation system with fuzzy robust control law is …proved. The linear matrix inequality (LMI) is utilized to obtain a controller which can satisfy the H ∞ performance index and the stability of the magnetic levitation system with the proposed control law is proved by Lyapunov method. Both simulation and experimental results are included to demonstrate that the proposed control law can ensure the stable suspension of the vehicle and can restrain the exogenous disturbance effectively. Compared with conventional PID controller, the presented controller can assure faster dynamic response, stronger robustness and smaller overshoot under both exogenous disturbances and model uncertainties. Show more

Keywords: Nonlinear system, fuzzy control, magnetic levitation system, T-S model, robust control

DOI: 10.3233/JIFS-169868

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Zhang, Xiaoqiang | Li, Lin | Le Vine, Scott | Liu, Xiaobo

Article Type: Research Article

Abstract: The market-oriented rail operation planning and pricing are two key issues to enhance the competitiveness and attractiveness of rail sector. A limitation of the state-of-the-art in this area of research is that supply-side (operation planning) and demand-side issues (affected by the pricing) are generally considered separately. The contribution of this paper is to propose a revenue-maximization model that integrates these two dimensions, based on dynamic ticket-pricing, elasticity in passenger demand, and flexible dispatching. The model considers both operating costs directly borne by the rail service operator and costs indirectly incurred by passengers due to the disutility of unproductive travel time …(i.e. the value of time). The strategy to identify the profit-maximizing joint pricing/dispatching strategy is based on Lyapunov optimization. The Lyapunov optimization is applied to obtain a fully distributed and low-complexity multi-slot algorithm only requiring knowledge of the instantaneous system state. We prove the explicit trade-off between the optimization objective and queue backlog. The Guangzhou-Shenzhen railway (Guangdong, China) is employed as the empirical case study, to expose the properties of the proposed model. Show more

Keywords: Rail service planning, dynamic pricing, Lyapunov drift-plus-penalty, queue backlog, revenue management

DOI: 10.3233/JIFS-181701

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Hu, Xiu-lian | Ke, Sheng-Jie

Article Type: Research Article

Abstract: The initial crisis early warning index system of the supply chain quality has been built up according to crisis inducement, documentary research and corporate research. Then we evaluated the feasibility, importance, independence of the index system by using experts scoring methodology. The initial crisis early warning index system has been filtered by fuzzy inference system (FIS) and the final crisis early warning index system has been established.

Keywords: Supply chain quality, crisis early warning, early warning index, crisis inducement

DOI: 10.3233/JIFS-169870

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2018

Authors: Anderson, James | Suh, Wonho | Guin, Angshuman | Hunter, Michael | Rodgers, Michael O.

Article Type: Research Article

Abstract: This paper presents a procedure for assigning multiple Level-of-Service (LOS) ratings to travel time data sets containing multiple (composite) distributions. Different LOS modes within a mixed data set, the travel time data were fitted to multiple gamma-type distributions using an Expectation Maximization (EM) iterative process. The EM process was enhanced with a Monte Carlo style method, wherein the EM process was run 100 times with different random starting values and the best fit according to an R-squared value was taken. The number of underlying distributions was determined by fitting 1 to 5 distributions and using the Akaike Information Criterion to …determine which number of fits maximized the information content of the fitted function. The resulting final posterior probabilities were then used to separate the data into their respective distributions. Reported here are the results of applying this procedure to travel time data collected in the Metro Atlanta area. It is believed that this method can provide enhanced LOS information, especially when the data contain multiple overlapping travel time distributions. This multiple LOS rating method is not intended to replace the current method, instead it is being developed as a supplementary tool to provide more detailed LOS information, for example providing a more detailed view that captures the underlying performance of each subgroup in addition to a single aggregate LOS measure. Show more

Keywords: Travel time distribution, expectation maximization iterative process, Monte Carlo simulation

DOI: 10.3233/JIFS-169872

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Wu, Huan | Zhao, Tingdi | Jiao, Jian | Chen, Zhiwei

Article Type: Research Article

Abstract: With the increasing of system scale and the growing of functional requirements and interactions within and/or among system hierarchies, there are more difficulties for safety engineers to carry out their works. Especially, the research on phased mission system (PMS) with probabilistic common cause failures (PCCFs) is still in the initial stage and has a lot of limitations, because the current researches have not yet considered the dynamic characteristics of PMSs. In this paper, a modular method is proposed as the theoretical basis to construct the components model in the PMS with PCCF. The relationships between common cause events were discussed …and the probabilistic model of CCFs is extended, so that the model can fit for different statistical relations, and a module-based modeling and analysis method using binary decision diagram (BDD) and Markov model were proposed to deal with static and dynamic module in PMS respectively. Moreover, a standardization of description method for modular method using extensible markup language (XML) is given, based on which the system reliability model can be constructed by computer aided. Finally, the proposed method is demonstrated through a case study. Show more

Keywords: Probabilistic common cause failure, phased-mission system, Markov method, XML, standardization, automatic generation of model

DOI: 10.3233/JIFS-169865

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Liu, Yong | Zhou, Ting

Article Type: Research Article

Abstract: Some factors such as expert information, behavior and time influence the decision-making results in dynamic group decision-making. In view of this, from the angle of group negotiation and system coordination, we exploit the Orness measure constraints and Nash bargaining model to establish a novel dynamic group grey target decision method. In this paper, we firstly define concepts of multi-index group measure matrix, stage bull’s-eye matrix and whole bull’s-eye matrix, which consists of the schemes, the objective, the experts, and the time. Then, based on the maximization of decision group satisfaction and the minimization of system coordination deviation, the asymmetric Nash …bargaining model is used to construct a two-step optimization model. Last, the suggested optimization model is used to solve stage bull’s eye matrix. What’s more, we utilize the Orness measure constraints to establish a phase weight nonlinear programming model, and then use it to solve the weight of the stage and determine the entire bull’s-eye matrix. And we utilize the norm to measure the norm distance between group measure matrix and the stage and whole bull’s-eye matrix of the schemes, so that we can give the stage and whole schemes ranking. Finally, the case of emergency group decision making tests the validity and rationality of the proposed method. Show more

Keywords: Bull’s-eye, group negotiation, Orness measure constraint, dynamic, norm distance

DOI: 10.3233/JIFS-181174

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Wu, Chun-Hui | Chen, Ta-Cheng | Hsieh, Yi-Chih | Tsao, Huei-Ling

Article Type: Research Article

Abstract: According to the reports of the World Health Organization, the abnormal total cholesterol is one of the major risk factors for cardiovascular diseases. Supporting this, a number of prospective studies have examined that the risk of cardiac morbidity and mortality is directly associated with the concentration of plasma total cholesterol. Traditional Chinese medicine has been used to treat cardiovascular diseases since it creates milder healing effects and incurs fewer side effects than Western approaches. However, in real world, the traditional Chinese medicine diagnosis using the meridian system is highly complicated in nature so that it is difficult to create a …general model. In our research, a hybrid evolutionary rule mining approach is proposed to assess the total cholesterol data patterns detected from the traditional Chinese medicine meridian energy. Based on the proposed approach, a rule-based decision-making model can be developed with maximum classification accuracy. Through a numerical experiment, the results of this study were compared with the commercial data mining software and the proposed approach is shown to be a promising method for improving prediction accuracy with fewer type II errors. The research outcomes may have benefits to help diagnose and treat cholesterol abnormalities in traditional Chinese medicine clinical therapy. Show more

Keywords: Rule mining, traditional Chinese medicine, total cholesterol, decision-making

DOI: 10.3233/JIFS-169864

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2018

Authors: Ke, Hua | Chai, Shiwei | Cheng, Rong

Article Type: Research Article

Abstract: The rapid development of car sharing raises a concerned question: is it a better alternative to car sales? This paper studies a business model selection problem where an automobile manufacturer with uncertain information chooses his strategy from three options: sale only (SO ), car sharing only (CO ), and both sale and car sharing (SC ). A game-theoretic model is built to investigate what are the key factors influencing the introduction of car sharing and how it brings environmental impact. Our results show that both the selling price and car-sharing fee keep invariable regardless of which business model the manufacturer …chooses. CO is a dominated strategy. Besides, SC dominates SO when producing cost is either sufficiently low or high, while the opposite is true for a medium producing cost. In addition, only when producing cost is sufficiently high, a win-win outcome emerges: the introduction of car sharing not only increases the manufacturer’s profit, but also reduces total vehicle quantity, which helps alleviate urban congestion. Finally, our results prove that the increase of uncertainty degree benefits the manufacturer when SC is adopted. Show more

Keywords: Car sharing, game theory, pricing strategy, uncertain information, business model selection

DOI: 10.3233/JIFS-18961

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2018

Authors: Shieh, Cheng-Shion

Article Type: Research Article

Abstract: This study proposes the digital fuzzy control based on Adaptive-Network-based Fuzzy Inference System (ANFIS) to overcome the tracking problem of a DC-AC and DC-DC boost converter and to implement on a digital computer. The proposed method eliminates the trial and error commonly associated with fuzzy systems. In the proposed design scheme, we take the existing continuous controller as training data of the ANFIS such that the proposed digital fuzzy control can replace original continuous one and can keep the original system performance. It is a sense of digital redesign that this paper proposes a new digital control such that the …state trajectories of the sampled-data closed loop systems close to the continuous-time one. An existing boost converter circuit has demonstrated the feasibility of the proposed methodology. Show more

Keywords: Digital fuzzy control, DC-DC regulator converter, DC-AC tracking converter, adaptive-network-based fuzzy inference system (ANFIS), digital redesign

DOI: 10.3233/JIFS-169863

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2018

Authors: Petrovsky, Alexey B.

Article Type: Research Article

Abstract: The paper considers new classes of spaces of finite, bounded, measurable multisets with different metrics, pseudometrics, quasimetrics, symmetrics, and some properties of these metrics. We discuss the possibilities to apply new types of metrics for estimating proximity of objects with many numerical and/or verbal attributes. We use the introduced indexes of similarity and dissimilarity of objects represented as multisets in new methods of group multiple criteria decision making.

Keywords: Multiset, space of multisets, metric, pseudometric, quasimetric, symmetric, multi-attribute objects, similarity and dissimilarity of objects, group multiple criteria decision making, group verbal decision analysis

DOI: 10.3233/JIFS-18525

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Hsieh, Wen-Hsiang

Article Type: Research Article

DOI: 10.3233/JIFS-169904

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-1, 2018

Authors: Li, Chengdong | Yan, Bingyang | Tang, Minjia | Yi, Jianqiang | Zhang, Xiqiao

Article Type: Research Article

Abstract: Traffic flow prediction can not only improve the reasonability of the managers’ decision-making and road planning effectively, but also provide helpful suggestions for travelers to avoid traffic congestion. In order to further improve the prediction accuracy of traffic flow, this study presents one data driven hybrid model for short-term traffic flow prediction. This hybrid model firstly extracts the periodicity pattern from the traffic flow data, then, constructs the functionally weighted single-input-rule-modules connected fuzzy inference system (FWSIRM-FIS) for the residual data after removing the periodicity pattern from the original data, and finally, generates the final prediction results through integrating the periodicity …pattern and the output from the FWSIRM-FIS model. The partial autocorrelation function (PACF) method is adopted to determine the optimal inputs for the data driven FWSIRM-FIS model, and the iterative least square method is utilized to train the parameters of the FWSIRM-FIS. Furthermore, three detailed experiments on traffic flow prediction are made, and comprehensive comparisons with three popular artificial intelligence methods are done to verify the effectiveness and advantages of the proposed hybrid model. According to five comparison indices, the proposed hybrid model can achieve the best prediction performance, although with much less fuzzy rules. The error histograms also verify that the proposed hybrid model has the smallest prediction errors comparing to the three comparative methods. The hybrid approach proposed in this study can also be extended to some other applications which have periodicity patterns, e.g. the traveling time estimate and the electricity load forecasting. Show more

Keywords: Traffic flow prediction, fuzzy method, single input rule module, least square learning, traffic-flow pattern

DOI: 10.3233/JIFS-18883

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Hou, Jinhui | Zeng, Huanqiang | Cai, Lei | Zhu, Jianqing | Chen, Jing | Cai, Canhui

Article Type: Research Article

Abstract: Handwritten numeral recognition is a challenging problem in the character recognition field due to the large variation in the writing styles of different persons and high similarity in the contour of different numerals. To address this problem, an effective multi-task learning network (MTLN) for handwritten numeral recognition is presented in this paper. Based on the observation that the writing style could play an effective complementary role to the learned feature extracted from numerals, the proposed MTLN simultaneously performs the handwritten numeral learning module and the writing style learning module. Consequently, the determination of scratchy/non-scratchy in the writing style learning …module can effectively assist the handwritten numeral learning module to obtain a more robust and distinguishable feature so as to improve the recognition performance. Extensive experiments on multiple existing handwritten numeral datasets have demonstrated that the proposed MTLN can effectively improve the recognition accuracy, and outperform multiple state-of-the-art methods. Show more

Keywords: Handwritten numeral recognition, multi-task learning network, convolutional neural network

DOI: 10.3233/JIFS-169862

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2018

Authors: You, Peng-Sheng | Hsieh, Yi-Chih

Article Type: Research Article

Abstract: Bicycle-sharing systems are commonly established at geographically dispersed locations to create their rental service networks. To provide customers with flexibility and convenience, bicycle-sharing systems commonly allow them to pick up bicycles from one station and return them to a different one. However, allowing customers to return their rented bicycles to different stations can possibly lead to an imbalance in the bicycle rental network. One of the approaches to overcome the bicycle imbalance problem is to apply dynamic pricing to motivate consumers to return the rented bicycles to stations without a sufficient number of bicycles. This study developed a constrained dynamic …pricing model to address the bicycle imbalance problem. Moreover, this study aimed to maximize the total revenues over a planning horizon through dynamic pricing strategies. We identify some necessary conditions for optimal sale prices. Using these conditions, we develop a heuristic algorithm based on linear programming and an evolutionary algorithm to efficiently produce comprise solutions. The proposed model and solution procedure were applied to analyze the bicycle system in Taiwan. Sensitivity analyses were also conducted to investigate the effects of various system parameters. Show more

Keywords: Bicycle sharing, rental network, imbalance, dynamic pricing, algorithm

DOI: 10.3233/JIFS-169899

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Khorrami, Niyaz | Shamloo, Ali Salimi | Parsa Moghaddam, Behrouz

Article Type: Research Article

Abstract: In this paper, Nystrom method was used to solve the Fredholm integral equations of the second kind under interval data. The interval analysis is first presented along with integral equations of the second kind and then Nystrom method is used to find solution of integral equations in the intervals instead of nodes. Also the existence of solution and error analysis is presented. Numerical examples show that the method is efficient and demonstrate a good accuracy.

Keywords: intervals, Interval computations, Fredholm integral equation of the second kind, Nystrom method under interval data.

DOI: 10.3233/JIFS-181206

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2018

Authors: Wen, Ta-Chun | Chang, Kuei-Hu | Lai, Hsin-Hung

Article Type: Research Article

Abstract: Personnel selection issues can be viewed as a complicated multicriteria decision-making (MCDM) problem. Choosing the most appropriate personnel directly influences an organization’s competitiveness and its sustainable development. Thus, the personnel selection problem is a critical issue for an organization’s success. However, such dilemmas involve quantitative and qualitative factors. Moreover, deciding on how to allocate limited resources toward cultivating talent increases the difficulty of personnel selection problems. This issue can not be solved effectively by arithmetic average-based methods. To address these issues, this paper combines the minimal variance order weighted averaging (OWA) operator and importance-performance analysis (IPA) to improve personnel selection. …The advantages of the proposed method can deal with quantity and qualitative factors simultaneously in the process of personnel selection, consider the ordered weights between assessment attributes, and establish an IPA grid to provide the reference for decision-making by the management. Finally, an empirical case study of selection of higher-education students is applied to illustrate our method. Compared with the arithmetic average and interval 2-tuple linguistic VIKOR methods, our results indicated that the proposed method generates a more accurate and reasonable ranking of personnel. Show more

Keywords: Decision analysis, human resource management, 2-tuple linguistic representation model, minimal variance OWA, importance performance analysis

DOI: 10.3233/JIFS-171686

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Zhang, Xuefeng | Su, Jiafu

Article Type: Research Article

Abstract: Solution selection plays an important role in crowdsourcing and is an imperative work for requesters. However, to the best of our knowledge, there is few studies focus on the problem of solution selection, especially in crowdsourcing contests for innovative tasks. This paper aims to develop a methodology incorporating quality function deployment (QFD) with 2-tuple linguistic method to assist requesters to select the right solution from a large pool of potential solutions efficiently. The methodology includes three phases. The first phase, i.e. pre-selection, is to screen potential solutions by employing the rule of non-compensatory. The second phase is to construct …relationships between requester’s requirements and solution features using quality function deployment (QFD), and further to determine the weights of solution features using 2-tuple linguistic weighted average operator and fuzzy weighted average method. The last phase is to evaluate the performance of potential solutions with respect to solution features, and further estimate their overall performance. Finally, an illustrative application case on the crowdsourcing platform-Taskcn is presented to demonstrate the implementation and effectiveness of the proposed approach. Show more

Keywords: Crowdsourcing contests, innovative tasks, solution selection, quality function deployment, 2-tuple linguistic method

DOI: 10.3233/JIFS-181122

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Mahapatra, Tanmoy | Pal, Madhumangal

Article Type: Research Article

Abstract: In this article, a new idea of fuzzy coloring of m -polar fuzzy graph is presented while establishing the relationship between chromatic number of m -polar fuzzy graph and it’s underlying crisp graph. Some properties of m -polar fuzzy graph and new concepts of independently strong edge and independently weak edge in m -polar fuzzy graph are proved. The differences between fuzzy coloring of fuzzy graph and m -polar fuzzy graph are discussed. It is also shown that a m -polar fuzzy graph can be decomposed into m fuzzy graphs. Again, from m isomorphic fuzzy graph one …can construct a m -polar fuzzy graph. A relation among chromatic numbers of m -polar fuzzy graph and m such graphs is established. Lastly a real life application of the fuzzy coloring is discussed. Show more

Keywords: m-polar fuzzy graph, α-strength cut graphs, independently weak edges, independently strong edges, chromatic number

DOI: 10.3233/JIFS-181262

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Ashraf, Shahzaib | Abdullah, Saleem | Mahmood, Tahir | Ghani, Fazal | Mahmood, Tariq

Article Type: Research Article

Abstract: The key objective of the present proposed work in this paper is introduced a new version of picture fuzzy set so called spherical fuzzy sets (SFS). spherical fuzzy set is a new extension of picture fuzzy sets and Pythagorean fuzzy sets. In spherical fuzzy sets, membership degrees are gratifying the condition 0 ⩽ P 2 (x ) + I 2 (x ) + N 2 (x ) ⩽1 instead of 0 ⩽ P (x ) + I (x ) + N (x ) ⩽1 as is in picture fuzzy sets. In …this paper, we investigate the basic operations of spherical fuzzy sets and discuss some related results. We extend operational laws to aggregation operators and introduce weighted averaging and weighted geometric aggregation operators based on spherical fuzzy number’s. Further a multi attribute decision making method is developed and these aggregation operators are utilized. Finally, we constructed a numerical approach for implementation of proposed technique. Show more

Keywords: Spherical fuzzy sets, aggregation operators, multi-attribute decision making problem

DOI: 10.3233/JIFS-172009

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2018

Authors: Hu, Ming-Sen

Article Type: Research Article

Abstract: The chemical compound NOx is one of the biggest sources of air pollution, and presently Selective Catalytic Reduction (SCR) is the most frequently used method to dispose of NOx. A proportion of NH3 as a reducer is injected into the system and mixed with the NOx waste gas so as to be treated thoroughly. With sufficient O2 , NOx is reduced to innocuous N2 and H2 O by the catalytic reduction of the catalyst. The purpose of this study is to develop a monitoring system for blending the mixing ratio and concentration of NO automatically and for SCR …catalyst De-NOx performance test analysis. This monitoring system enables the user to set various control parameters and instrument parameters, executes user calibration operations (e.g. zero calibration, full scale calibration and low concentration calibration), and tests the De-NOx performance of the plate type catalyst. In the catalyst De-NOx performance testing process, the system prepares the NO mixing ratio and concentration automatically according to the blending concentration and temperature control curves set by the user and then implements the catalyst bed multi-stage temperature control, so as to complete NO or NH3 concentration detection and automatic data logging as the base of De-NOx performance test analysis. Show more

Keywords: Nitrogen oxides, selective catalytic reduction, De-NOx performance, automatic control system

DOI: 10.3233/JIFS-169896

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2018

Authors: Konwar, Nabanita | Davvaz, Bijan | Debnath, Pradip

Article Type: Research Article

Abstract: In this paper we study approximation properties (APs) and bounded approximation properties (BAPs) in the setting of intuitionistic fuzzy n -Banach spaces (IFnBSs). Further, we define strong intuitionistic fuzzy n -continuous and strong intuitionistic fuzzy n -bounded operators and using them we prove the existence of an IFnBS with AP. In addition, we provide examples which show that there exist IFnBSs with the AP which fail to have the BAP.

Keywords: Intuitionistic fuzzy n-Banach space; approximation property, bounded approximation property.

DOI: 10.3233/JIFS-181094

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Luo, Yung-Chang | Chen, Yu-Hsiang

Article Type: Research Article

Abstract: In this study an adaptive on-line speed estimation approach has been proposed for a sensor-less indirect air-gap field orientation controlled (AGFOC) induction motor (IM) drive. The indirect AGFOC IM drive was established by utilizing the stator current and air-gap flux. The estimated synchronous speed was derived from the developed reactive power based adaptive air-gap flux estimator, and the estimation of rotor speed was made by subtracting the slip speed from the estimated synchronous speed. Speed estimation and control by the AGFOC IM drive could be extended to include constant power operation mode by utilizing the field weakening technique. The MATLAB® …∖Simulink ® toolbox was used to simulate this system and all the control algorithms were realized using a TI DSP 6713-and-F2812 card to generate pulse width modulation (PWM) signals to the power stage, actuate an IM to validate this approach (sensor-less AGFOC). Both simulation and experimental responses confirmed the effectiveness of the proposed system. Show more

Keywords: Speed estimation, air-gap field orientation controlled (AGFOC), adaptive air-gap flux estimator, field weakening technique

DOI: 10.3233/JIFS-169895

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2018

Authors: Kuo, Wen-Chung | Wang, Chun-Cheng | Kuo, Shao-Hung | Wuu, Lih-Chyau

Article Type: Research Article

Abstract: Traditional digital image authentication is usually based on signature or fragile watermarks. This performs authentication without any secret hidden data. Until now, many image authentication schemes with error detection based on watermarks or signatures have been proposed. Tampering attack can be detected but the areas tampered with cannot be determined for these schemes. In order to improve this shortcoming, a verifiable data hiding scheme is proposed for digital images in this paper. The main idea of the proposed scheme is combining multi-bit encoding function and multi-group data hiding scheme to increase embedding capacity and strengthen security with parity check to …verify the tampering of digital images having embedded secret messages. Therefore, there are three major contributions in our proposed scheme. First, it can achieve image tamper detection and find what has been modified. Second, it resists collage attack. Third, it can increase the embedding capacity. These contributions are discussed according to experimental results. The proposed scheme includes a high security to reduce detection of hidden data and the MSE analysis also proves this scheme has good image quality. Show more

Keywords: Multi-bit encoding function, parity check, watermark, tamper detection, MSE analysis

DOI: 10.3233/JIFS-169902

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2018

Authors: Dai, Jhen-Tang | Juang, Jih-Gau

Article Type: Research Article

Abstract: The purpose of this study is to integrate fuzzy sliding mode control (FSMC) into automatic landing system (ALS) to enhance aircraft safety during landing. FSMC can provide compensation signal to PID controller. The adaptive weight particle swarm optimization (AWPSO) and grey-based particle swarm optimization (GPSO) are applied to tune the matrix of controller parameters of the sliding surface. Fuzzy rules are applied to sliding mode controller to find the gain of the differential sliding function, sliding condition can be satisfied and stable control system can be achieved. PID controller is the main controller of the aircraft and it is also …used for the FSMC controller in learning process. In this study, the proposed intelligent system can improve the ALS to against the wind disturbance and control aircraft landing in severe condition. Stability analysis is provided in the controller design by the use of Lyapunov theory. Show more

Keywords: Fuzzy sliding mode control, particle swarm optimization, automatic landing, wind disturbance

DOI: 10.3233/JIFS-169900

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Hua, Xiujuan

Article Type: Research Article

Abstract: In this paper, L -fuzzy rough sets as a further generalization of the notion of fuzzy rough sets are proposed. Moreover, some properties in lattice ordered effect algebra are presented. A group of approximation operators are defined by the new operation in effect algebra, which is introduced by Zhou X.N., Li Q.G. and Wang G.J. And some equivalent statements in an L -fuzzy approximation space are investigated. Finally, the notion of generalized L -fuzzy relational morphism of lattice effect algebra is introduced and the fundamental properties of it are studied.

Keywords: Effect algebra, Lower approximation, Upper approximation, L-fuzzy rough set, L-fuzzy relational morphism

DOI: 10.3233/JIFS-171920

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2018

Authors: Mao, Wei-Lung | Suprapto,

Article Type: Research Article

Abstract: Nonlinear time series analysis and forecasting are an essential part in a diverse range of physical and natural applications. This paper presents a time-division cerebellar model articulation controller (TDCMAC) network using a modified biogeography-based optimization (modified BBO) learning algorithm for nonlinear time series and measurement data prediction. The TDCMAC method is a time windowing strategy constructed using the CMAC network. BBO algorithm is designed related to the geographical distribution of species over time and space. This study presents two modified migration functions of the essential BBO, i.e. quadratic migration BBO (QBBO) and sinusoidal migration BBO (SBBO) methods, to improve …convergence rate and quality of solution. Five nonlinear time series, including Mackey-glass, Lorenz, Rossler, Limber Pine, and Ponderosa Pine data series, are employed to investigate the proposed predictor. The TDCMAC networks using QBBO and SBBO learning algorithms are compared with the gradient descent (GD) method and other existing heuristic learning methods, including particle swarm optimization (PSO), genetic algorithm (GA), and conventional BBO methods, to verify the estimation performance of the proposed method. The performances are evaluated through an extensive simulation by computing the root mean square error (RMSE), mean absolute percentage error (MAPE), and average relative variance (ARV) metrics. Experimental results demonstrate that the proposed predictor indeed achieve more accurate performances and faster learning speed for time series prediction applications. Show more

Keywords: Time-division cerebellar model articulation controller (TDCMAC), Modified biogeography-based optimization, Nonlinear time series prediction, Mackey Glass time series, Lorenz time series, Rossler time series

DOI: 10.3233/JIFS-171120

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, 2018

Authors: Kumar, Mohit

Article Type: Research Article

Abstract: The correlation between the performance of attributes and the overall satisfaction perceived by the customers is a successful indirect approach to evaluate the importance of the attributes in services. Recently, the fuzzy importance of attributes was discussed as the fuzzy correlation between the performance of attributes and the overall satisfaction. In this paper, the concept of fuzzy set is extended to the idea of intuitionistic fuzzy set and a novel simple approach is presented to evaluate the importance of attributes as the intuitionistic fuzzy correlation between the performance of attributes and the overall satisfaction. The qualitative input data such …as customer’s opinions are available and expressed as linguistic terms. Each of these linguistic terms is mathematically represented by membership and non-membership functions of intuitionistic fuzzy number instead of a fuzzy number or a crisp number. The calculation is based on the weakest triangular norm (t-norm) arithmetic operations on triangular intuitionistic fuzzy numbers. The proposed approach has been applied to a survey with respect to the quality of hotel services in Oradea (Romania) and then compared with other existing approaches to calculating the importance of hotel quality attribute. Show more

Keywords: Correlation coefficient, intuitionistic fuzzy number, weakest t-norm arithmetic, triangular intuitionistic fuzzy number, intuitionistic fuzzy importance

DOI: 10.3233/JIFS-18485

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Dian, Songyi | Liang, Weibo | Zhao, Tao

Article Type: Research Article

Abstract: Finite-time stability and stabilization problems for a class of interval type-2 (IT2) fuzzy time-delay systems are studied. In this paper, we extend the concept of finite-time stability to IT2 fuzzy time-delay systems. Based on the Lyapunov stability method, integral inequality and some advanced matrix inequalities, a sufficient condition is proposed to guarantee finite-time stability of IT2 fuzzy time-delay systems. Then, by virtue of the results on finite-time stability and Finsler’s lemma, we propose an IT2 fuzzy state feedback controller which can guarantee the closed-loop system is finite time stable. The problem of finite time stabilization can be solved with con …complementarity linearization iterative algorithm. Finally, two numerical examples are provided to verify the effectiveness of the proposed approach. Show more

Keywords: IT2 fuzzy systems, state feedback control, finite-time, time-delay

DOI: 10.3233/JIFS-18933

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Chou, Hsi-Chiang

Article Type: Research Article

Abstract: The rapid rates of industrialization and urbanization have induced considerable changes in family structures, increasing the number of older adults who voluntarily or involuntarily live alone. The rapid increase in the population of older adults living alone has raised many safety concerns, with fall-induced injuries and dementia presenting immediate dangers to older adults. Falls are prevalent in older adults, and not only cause injuries for the individuals, but also impose an extremely heavy burden on family members and caregivers. Furthermore, dementia is common among older adults in aging societies and is usually accompanied by dysfunctions in daily living activities, causing …considerable difficulties for family members. The objective of this study was to develop a remote monitoring and control (M&C) smart floor system for detecting falls and wandering patterns in older adults with dementia in order to provide comprehensive care assistance. The proposed system integrates a floor detection sensor and Wi-Fi technology to analyze and determine the occurrence of falls and wandering in older adults with dementia. Conventionally, detection processes for falls and wandering in older adults with dementia are conducted using visual monitoring or wearable detectors, which may reduce the privacy, comfort, and convenience of older adults. By contrast, the proposed system maintains users’ privacy and eliminates the inconvenience associated with wearing detectors. The system determines fall behaviors and wandering patterns in older adults with dementia; when an accident occurs, the system can issue a warning and notify medical care units or relatives for immediate attention, thus reducing the occurrence of further accidents. The remote M&C and warning functions of the proposed system were verified through experiments. Show more

Keywords: Fall detection, dementia, wandering patterns

DOI: 10.3233/JIFS-169903

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2018

Authors: Weng, Jian-Fu | Su, Kuo-Lan

Article Type: Research Article

Abstract: Automated guided vehicle is the most important research issues for mobile robot development. The important research issue of the automated guided vehicle (AGV) is navigation system in recent years. Navigation system can be divided into self-localization, path planning and obstacle avoidance for indoor service execution. The application fields have security patrol or package delivery. Furthermore, recharging is necessary before the battery power has exhausted. The paper develops the automated guided vehicle that is designed and built with a 4WD mecanum wheel platform. Due to the laser ranger’s high precision, we applied the laser range finder to achieve the environment map …construction, so the self-localization via particles filter (PF) and the path planning algorithms can be utilized with the map. The practical motion and safety avoidance strategies are also proposed for robot motion control. Finally, the sensory fusion methods are also integrated with the laser ranger and RGB-D camera for automated guided vehicle while performing the docking process. The experimental results show the successful demonstrations of autonomous patrol and docking for self-recharging. Show more

DOI: 10.3233/JIFS-169897

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2018

Authors: Wang, Zhen | Jin, LeSheng | Yager, Ronald R. | Mesiar, Radko | Kalina, Martin | Špirková, Jana | Borkotokey, Surajit

Article Type: Research Article

Abstract: We study the Yager OWS aggregation and the Irregular normalized Yager OWA aggregation under infinite environment. Two evaluation problems are proposed to motivate their applications. Few distinguishing properties are discussed. We show that such aggregations use the same type of weights, infinite weights (sequence), to embody the involved preferences. Their respective applications in the fields of Scientometrics and Gradual Confidence Aggregation are proposed and analyzed.

Keywords: Aggregation function, Decision making, evaluation, Infinite Ordered Weighted Sum, OWA operators

DOI: 10.3233/JIFS-181291

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2018

Authors: Xu, Bingyuan | Zhou, Zhiheng | Chen, Xi | Yang, Yi | Yang, Zhiwei

Article Type: Research Article

Abstract: A new algorithm for static hand gesture recognition is proposed in this paper, which mainly includes the following four steps: hand segmentation, arm removal, feature extraction and gesture recognition. Firstly, the hand is extracted from the background by using skin-color features and geometric characteristics. Secondly, a new arm removal algorithm is proposed, which can effectively and quickly remove the arm area by using distance transformation operations, and gesture composed of palm and fingers can be obtained. Finally, Hu moments of the gesture image and the number of fingertips are calculated and entered into the Support Vector Machine (SVM) for …training. Experiments have been performed to demonstrate that the proposed algorithm is robust in complex background, and can detect and recognize gestures in real time with an accuracy of 94.89%. Show more

Keywords: Arm removal, static hand gesture recognition, distance transformation, SVM

DOI: 10.3233/JIFS-18681

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2018

Authors: Chen, Ta-Cheng | Wang, Sheng-Chuan | Wu, Chun-Hui | Huang, Ke-Wei

Article Type: Research Article

Abstract: This study is to investigate the nonlinearly constrained various signal detector location allocation problems in which the types of detectors and the corresponding numbers and locations can be determined at the same time so as to minimize the maximum detecting failure rate in a specified area. In other words, the objective of the detector location allocation problem is to minimize the maximum failure rate by determining the best possible conjunction of three types of decision variables, i.e. , the type of detector, the numbers of each detector type and where to build up each of them with a limited …resources. So, the quality of reliability of event detecting can be assured and consistent. By the way, the signal intensity usually disintegrates proportionally to some power of the distance from the detector. That makes the longer distance far away the detector, the bigger failure rate in detection of the event. The signal detector allocation problem is described as a mixed-integer nonlinear programming model, usually using math programming or heuristic optimization methods for finding the optimal solution or near optimal solution. While using the both methods, the difficulties encountered are the amount of decision variables and the difficulty of not violating the constraints. In this study, a two-phase evolutionary computation approach based on the immune algorithm and particle swarm optimization has been developed for overcoming the difficulties and finding the optimal solutions for the detector allocation problems effectively. Finally, the performance of the proposed methodology has been evaluated with the commercial optimization software. Numerical results illustrate that our approach is with well performance for the constrained detector allocation problems considered in this paper. As reported, solutions acquired by using our approach are as well as or better than those found by using LINGO® . Show more

Keywords: Location allocation, mixed-integer nonlinear programming, evolutionary approach

DOI: 10.3233/JIFS-169901

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2018

Authors: Ünver, Mehmet | Özçelik, Gökhan | Olgun, Murat

Article Type: Research Article

Abstract: The main goal of the present paper is to study the general structure and theoretical properties of a particular type of a fuzzy measure that can be used to model multi criteria decision making problems in which there exist some sub criteria. After constructing the general form of the non-additive set function, we deal with the interaction coefficient, Möbius representation and dual measure related to proposed measure. Finally, we are concerned with the usage of this type of fuzzy measures in multi criteria decision making problems in which at least one of the criteria contains some sub-criteria.

Keywords: Fuzzy measure, nonadditive measure, sub-criteria, multicriteria decision making, Möbius representation

DOI: 10.3233/JIFS-18396

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2018