Journal of Intelligent & Fuzzy Systems - Volume 38, issue 4

Authors: Jiang, Tianhua | Zhu, Huiqi | Deng, Guanlong

Article Type: Research Article

Abstract: The conventional production scheduling problem has mainly emphasized the time-related metrics, such as makespan, machine workload and tardiness/earliness, and so on. With the advent of the sustainable manufacturing, the green scheduling problem has been received more and more attention from scholars and researchers. In this paper, we investigate a green flexible job shop scheduling problem (GFJSP) with the consideration of environmental factors. To formulate the GFJSP problem, a mathematical model is first established to minimize the amount of total energy-consumption. To solve the model, a kind of improved African buffalo optimization (IABO) algorithm is proposed based on the characteristics of …the problem. In the proposed IABO, a two-vector solution representation method is first designed, and a population initialization method is adopted to generate the initial solutions with certain quality and diversity. Based on the original ABO, several improvement strategies are introduced to enhance the performance of the algorithm, i.e., the modified individual learning mechanism and the aging-based re-initializaiton mechanism. In addition, in order to adapt our algorithm to the scheduling problem, a discrete individual updating method is developed to ensure the algorithm search directly in a discrete domain. Finally, a number of experiments have been conducted to test the performance of the proposed IABO algorithm. The simulation data demonstrate the effectiveness of the proposed IABO for the considered GFJSP. Show more

Keywords: Green flexible job shop, improved African buffalo optimization, modified individual learning mechanism, aging-based re-initialization mechanism, discrete individual updating method

DOI: 10.3233/JIFS-191370

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4573-4589, 2020

Authors: Ahmad, Shabir | Jamil, Faisal | Khudoyberdiev, Azimbek | Kim, DoHyeun

Article Type: Research Article

Abstract:  Autonomous vehicles technology is an emerging area and has attracted lots of recognition in recent times. Accidents-free driving has always been the focal point of autonomous vehicles. Autonomous vehicles have the potential to eliminate human errors while driving, which has been argued as the predominant cause of traffic accidents. In autonomous vehicles technologies, a variety of efforts have been made to eliminate human drivers. The full elimination of humans is not possible at this moment, but some of the tasks can be automated to facilitate the drivers. In this paper, we investigate the leading causes of accidents based on UK …vehicle safety data of 2017-2018. We analyze the data and investigate the leading factors which cause traffic crashes. Based on the leading features in the dataset, we then run different prediction algorithms to predict the severity of accidents under a given input feature set. The accuracy of the model with Decision Tree classifier, Random Forest, and Logistic Regression are compared, and it has been found that Random Forest performs best among others with 95% accuracy. The trained random forest model is deployed on the Internet of Things server based on Arduino, and a lightweight application is developed to get the vital data from the driver. The data is applied to the trained model to predict the risk index of driving. This application is lightweight but yet provide a significant contribution in terms of safety in autonomous vehicles. Show more

Keywords: Internet of things, cyber-physical systems, real-time systems, virtualisation, virtual object

DOI: 10.3233/JIFS-191375

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4591-4601, 2020

Authors: Riaz, Shah | Khan, Laiq | Karam, Fazal Wahab

Article Type: Research Article

Abstract:  Human-beings in general and pregnant subjects (characterized by a sophisticated dynamic system) in particular are sensitive to whole-body vibrations (WBV) in sitting position while driving. The published literature is thickly populated with the investigation of WBV effects on non-pregnant subjects but sparsely populated with the biodynamic response enhancement of the pregnant subjects in driving conditions. In this paper, the biodynamic response analysis of eleven degrees of freedom (11-DoF) seated pregnant subject at the driver position is carried out while being exposed to vibrations induced by inherent road irregularities. An advanced adaptive NeuroFuzzy (AdaptNeuroFuzzy) control strategy for active suspensions of nineteen …degrees of freedom (19-DoF) integrated vehicle-pregnant subject model is designed to attenuate harmful vibrations and protect the seated pregnant subject and fetus against the risk of damages. Matlab/simulink is employed to carry out simulations. Performance validation of the proposed advanced intelligent control strategy based suspension system is accomplished through comparison with the passive, PID, adaptive PID (AdapPID) and adaptive fuzzy logic control (AdapFLC) via standard performance indices, using an ISO-classified standard random road profile. Show more

Keywords: Adaptive NeuroFuzzy control, integrated vehicle-pregnant subject, seated pregnant subject, vibration attenuation, whole body vibration

DOI: 10.3233/JIFS-191376

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4603-4617, 2020

Authors: Zhou, Jun | Zhou, Xuan | Liang, Guangchuan | Peng, Jinghong

Article Type: Research Article

Abstract:  Underground natural gas storage (UNGS), usually regarded as one of the most important gas storing and peak shaving method today, has been widely used in various parts of the world. The pipeline gathering system plays a key role in UNGS surface engineering. Thus, optimization of the whole system is crucial to lower the total investment. However, we cannot find that any scholars have published related papers on the gathering pipeline network for UNGS at present. This paper focuses on the two-level star gas field gathering pipeline network construction, establishes a mixed integer nonlinear programming (MINLP) model with considering the injection …and withdrawal process of UNGS. Minimizing pipeline network investment is the object of this model. Constraints of connection mode, platform, pipe length, flow rate, node pressure, pipe diameter are also taken into consideration in this model. A special genetic algorithm is proposed to figure out the optimal topological structure, location of platform and central station, pipe diameter, gas velocity along each pipe of this model. Last, two typical real cases are taken to test the applicability of the proposed model and the accuracy of the special GA. The optimal results indicate the mathematical model can lower the total investment and the corresponding GA can solve it efficiently. Show more

Keywords: Layout, pipeline network, GA, underground natural gas storage, MINLP

DOI: 10.3233/JIFS-191383

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4619-4642, 2020

Authors: Qin, Yuchu | Qi, Qunfen | Shi, Peizhi | Scott, Paul J. | Jiang, Xiangqian

Article Type: Research Article

Abstract: Two key steps in multi-criteria decision making (MCDM) are to quantify the considered criteria and to fuse the quantified criterion information to sort all alternatives. One of the most recent and important tools for the first step is linguistic interval-valued intuitionistic fuzzy number (LIVIFN) and one of the most common and effective ways for the second step is aggregation operator (AO). So far, a number of AOs of LIVIFNs have been presented. Each AO can work well under certain conditions. But there is not yet an AO of LIVIFNs that can deal with the situation where the weights of the …considered criteria are unknown and the criteria are in different priority levels and concurrently provide satisfying generality and flexibility in the aggregation of criterion information. To this end, a linguistic interval-valued intuitionistic fuzzy Archimedean prioritised and (LIVIFAPA) operator and a linguistic interval-valued intuitionistic fuzzy Archimedean prioritised or (LIVIFAPO) operator, which have such capabilities, are presented in this paper. The formal definitions and generalised expressions of the two AOs are firstly provided. Then their properties are explored and proved and specific expressions are established. After that, a new method for solving the LIVIFNs based MCDM problems is proposed on the basis of the presented AOs. Finally, the proposed method is illustrated via an example about additive manufacturing machine selection and is evaluated via a comparison with existing methods. The major contribution of the paper is the development of the LIVIFAPA and LIVIFAPO operators for MCDM, which can make up for the above shortcoming of the existing AOs of LIVIFNs. Show more

Keywords: Prioritised and operator, prioritised or operator, linguistic interval-valued intuitionistic fuzzy set, Archimedean t-norm and t-conorm, multi-criteria decision making

DOI: 10.3233/JIFS-191385

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4643-4666, 2020

Authors: He, Peng | Wang, Xue-Ping

Article Type: Research Article

Abstract:  This paper deals with L -fuzzy up-sets by using terminologies of closure operators. It first gives a condition that a family of some subsets of a nonempty set can be represented by L -fuzzy up-sets, and it finally discusses the L -fuzzy sets on quotient sets under closure operators.

Keywords: Complete lattice, L-fuzzy up-set, closure operator, 03B52, 03E72, 06A15

DOI: 10.3233/JIFS-191388

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4667-4673, 2020

Authors: He, Sang-Sang | Wang, Yi-Ting | Wang, Jian-Qiang | Cheng, Peng-Fei | Li, Lin

Article Type: Research Article

Abstract: Failure mode and effect analysis is a powerful risk analysis tool in engineering management. When properly conducted, FMEA can make a huge contribution to reduce costs. The traditional FMEA ranks the failure modes on the basis of Risk Priority Number, which is defined as the multiplication of three risk factors. However, this method has always been criticized for it can’t handle the situation where the information given is uncertain or ambiguous. In order to extend the application of FMEA under the fuzzy environment, in this paper, we proposed a novel risk assessment model known as probabilistic linguistic ELECTRE II method …to rank failure modes based on FMEA. To realize this goal, probabilistic linguistic term sets (PLTSs) that consider both the hesitant information and probabilistic information are introduced to depict decision maker’s cognitive information. To better use the PLTSs in the decision-making process, some important information measures are defined, and a method to obtain the combined weight based on entropy weight of PLTSs is also proposed. Subsequently, we establish a score-deviation based PLTS-ELECTRE II model to study FMEA as a multi-criteria group decision-making problem. Finally, we successfully apply this model in a nuclear reheat valve system and the effectiveness of the proposed method is verified by sensitivity analysis and comparative analysis. Show more

Keywords: Risk management, outranking, probabilistic linguistic term set, combined weight, hybrid distance measure

DOI: 10.3233/JIFS-191398

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4675-4691, 2020

Authors: Ulutaş, Alptekin | Karakuş, Can Bülent | Topal, Ayşe

Article Type: Research Article

Abstract: Logistics centers are home to many and varied facilities, such as storage, transportation of goods, handling, reassembling, clearing, disassembling, quality control, social services and providing accommodation, so on. Providing logistical activities from one location can provide some macro advantages, as well as regional development in developing countries. For the micro level, logistics center selection has an effective role in increasing the operational efficiency and decreasing the costs of the firms. While the wrong location selection for logistics center affects the operations and costs of the companies negatively, the optimal location selection increases the performance, competitiveness, profitability of the firms and …reduces the costs of the firms. Since many different qualitative and quantitative criteria are considered in the selection of the logistics center, this selection problem is an MCDM problem. A new integrated MCDM model is proposed to solve this problem for Sivas province in Turkey. This study presents two contributions to the literature. Firstly, the number of studies related to CoCoSo method is limited in the literature, therefore, the CoCoSo method is proposed in this study. Secondly, a new integrated GIS-based MCDM model comprising fuzzy SWARA and CoCoSo is introduced to literature to address the location selection problem for a logistics center. In this study, the results of CoCoSo method and the resulfts of other MCDM methods (COPRAS, VIKOR, ARAS, MOORA, and MABAC) are compared to test the accuracy of results obtained by CoCoSo. Besides, the criteria weights are changed and the possible changes in the results are tracked. Show more

Keywords: CoCoSo, fuzzy SWARA, GIS, logistics center, location selection, MCDM

DOI: 10.3233/JIFS-191400

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4693-4709, 2020

Authors: Abbaszadeh Sori, Ali | Ebrahimnejad, Ali | Motameni, Homayun

Article Type: Research Article

Abstract: The multi-objective constrained shortest path problem is one of the most significant and well-known problems in the field of network optimization which due to its many applications in routing, telecommunication, transportation, scheduling, etc., has attracted the attention of many researchers. In this paper, the mathematical model of the constrained shortest path problem with three objectives of cost, time and risk is formulated, where the constraint is on the path length. The aim is to find the most desirable path to move commodities from origin to destination based on three factors of cost, time, and risk which the length of path …does not exceed a predetermined value. The approach proposed for solving the problem under investigation is to use fuzzy inference system which finds optimal solution in comparison to linear programming and genetic algorithm approaches in less time. The proposed algorithm is implemented on a network of 27 nodes and 52 arcs. The implementation results of the proposed algorithm show that it is capable of finding the optimal solution. Show more

Keywords: Constrained shortest path problem, multi-objective optimization, fuzzy inference system

DOI: 10.3233/JIFS-191413

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4711-4720, 2020

Authors: Wei, Guiwu | Lu, Jianping | Wei, Cun | Wu, Jiang

Article Type: Research Article

Abstract: In practical multiple attribute group decision making (MAGDM) issues, uncertain and fuzzy cognitive decision information is well-depicted by linguistic term sets (LTSs). These LTSs are easily shifted into probabilistic linguistic sets (PLTSs). In such paper, a grey relational analysis (GRA) method is investigated to tackle probabilistic linguistic MAGDM with completely unknown attribute weights. Firstly, the definition of score function is then employed to objectively obtain the attribute weights based on the CRITIC method. Then, the optimal alternative is chosen through calculating largest relative relational degree from the probabilistic linguistic positive ideal solution (PLPIS) which considers both the largest grey relational …coefficient from the PLPIS and the smallest grey relational coefficient form probabilistic linguistic negative ideal solution (PLNIS). This proposed method extends the applications range of the classical GRA method. Finally, a numerical case for site selection of electric vehicle charging stations (EVCS) is employed to illustrate the proposed method. The effectiveness of the proposed method is also verified by some comparative studies. Show more

Keywords: Multiple attribute group decision making, probabilistic linguistic term sets (PLTSs), GRA method, CRITIC method, site selection, electric vehicle charging stations

DOI: 10.3233/JIFS-191416

Citation: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4721-4732, 2020