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

Authors: Ma, Weimin | Lei, Wenjing | Sun, Bingzhen

Article Type: Research Article

Abstract:  Three-way decisions, deduced from decision-theoretic rough set (DTRS), provide useful approaches for uncertain decision-making problems from a new perspective. Considering situations where decision-makers hesitate among several evaluation values, the hesitant fuzzy set, an innovative extension of fuzzy set, is introduced into multigranulation DTRS under multi-criteria group decision-making (MCGDM) environment. More specifically, we incorporate DTRS with hesitant fuzzy information into MCGDM in this paper, and explore the related decision-making mechanism. Firstly, the variable precision multigranulation hesitant fuzzy DTRS over two universes is defined by utilizing hesitant relation and conditional probability of a hesitant fuzzy event, and the associated decision rules and …properties are derived and carefully investigated. Accordingly, as two special types, optimistic and pessimistic multigranulation hesitant fuzzy DTRS over two universes are constructed similarly at the same time. Then, different from loss functions with fixed values in most of the existing DTRS models, the loss function is not given directly but calculated from evaluation values expressed by hesitant fuzzy elements. With the aid of the distance measure of hesitant fuzzy elements, the calculation of loss functions is presented. Furthermore, the three-way group decision-making model based on multigranulation hesitant fuzzy DTRS over two universes is established to address MCGDM problems, and key steps of this model are designed. Finally, we elaborate the application of the model by an example of green supplier selection problem. Show more

Keywords: Three-way decisions, rough set over two universes, hesitant fuzzy rough set, multigranulation, multi-criteria group decision-making, green supplier selection

DOI: 10.3233/JIFS-190970

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Khan, Vakeel A. | Fatima, Hira | Ahmad, Ayaz | Idrisi, Mohd Imran

Article Type: Research Article

Abstract:  The concept of fuzzy sets was introduced by Zadeh as a means of representing data that was not precise but rather fuzzy. Recently, Ko c ˇ inac [12 ] studied some topological properties of fuzzy antinormed linear spaces. This has motivated us to introduce and study the fuzzy antinormed double sequence spaces with respect to ideal by using a compact linear operator and prove some theorems, in particular convergence and completeness theorems on these new double sequence spaces.

Keywords: Ideal, filter, I-convergence, fuzzy antinormed space

DOI: 10.3233/JIFS-182575

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-6, 2019

Authors: Visalakshi, P. | Prabakaran, S.

Article Type: Research Article

Abstract: The nature of mobile nodes are affects the performance of MANET. The main requirement of secured MANET is use of secure protocols which ensure the network integrity, confidentiality, availability and authenticity. Recently, the secure protocols have been used to resists such attacks in MANET. Spoofing attack is one of them, which affects network by an attacker program successfully acts on another node behalf by impersonating data. In this paper, we investigate the spoofing attack problems in MANET and propose an optimal intrusion detection system (OIDS) using hybrid optimization algorithm (HOA) named as OIDS-HOA. Here, we propose an improved whale optimization …(IWO) algorithm for efficient cluster formation and a cluster chain weight metrics approach (CCWW) for trust degree computation of each mobile node. Moreover, the intrusion detection system (IDS) is done by the condition check algorithm and the intrusion response action (IRA) is performed by average route trust with three different responses are: No Punishment (NP), Route Change (RC) and Route Isolate (RI). The simulation results show that the effectiveness of proposed OIDS-HOA scheme in terms of packet delivery fraction, end-end-delay, energy consumption, overhead and packet drop ratio. Show more

Keywords: Mobile ad hoc network (MANETs), optimal intrusion detection system (OIDS), hybrid optimization algorithm (HOA), improved whale optimization (IWO), intrusion detection system (IDS), spoofing attack, trust degree

DOI: 10.3233/JIFS-182881

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Shah, Nasir | Ali, Muhammad Irfan | Shabir, Muhammad | Ali, Abbas | Rehman, Noor

Article Type: Research Article

Abstract:  Z-soft rough covering models introduced by zhan et al are important generalizations of classical rough set theory to deal with more complex problems of real world. So far, the existing studies mainly focus on constructing various forms of approximation operators and their related properties by means of neighborhoods. In this paper, we introduce different kinds of uncertainty measures related to Z-soft rough covering sets and discuss their limitations. An axiomatic definition of knowledge granulation for soft covering approximations space is introduced. Some main theoretical results are obtained and investigated with the help of examples. Finally, a fully developed example describing …the application of the proposed theory in multicriteria decision making is constructed. Show more

Keywords: Z-soft rough covering sets, uncertainty, knowledge granulation, axiomation, decision making

DOI: 10.3233/JIFS-182708

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Alsager, K.M. | Alshehri, N.O.

Article Type: Research Article

Abstract:  In this paper, we present a novel hybrid model called multi Q -dual hesitant fuzzy soft (Mk QDHFS) rough set model, by the combination of rough sets and Mk QDHFS sets. We investigate some fundamental properties of Mk QDHFS rough set model. Further, we develop Mk QDHFS rough approximation operators with the help of Mk QDHFS relations. We discuss some useful properties of lower and upper Mk QDHFS rough approximation operators. Furthermore, we present a novel framework for handling vagueness in decision-making problems based on Mk QDHFS rough sets. Finally, we give an …application to analyze the failure detection in unmanned aircraft systems (UAS) to show the validity of the proposed decision-making method. Show more

Keywords: Q-dual hesitant fuzzy soft set, MkQDHFS rough set, UAS failure detection approach, decision-making method

DOI: 10.3233/JIFS-182624

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Mohagheghi, Vahid | Mousavi, S. Meysam | Mojtahedi, Mohammad

Article Type: Research Article

Abstract: Project portfolio selection (PSP) problems have been explored for more than two decades. As a result, in the last two decades, the literature of PSP has experienced a sharp increase. Despite this increase, the literature has not been thoroughly reviewed. The main goal of this paper is to investigate and explain the features, state of the art, research direction, and real-world applications of PSP. To pursue this goal, the paper investigates PSP form aspects of PPS criteria, uncertainty modelling tools, selection and optimization methods, and application areas. More than 105 journal papers have been reviewed. The review has resulted in …the categorization of applied tools in PPS in addition to the presentation of new research directions. Show more

Keywords: Project portfolio selection problem, real-world applications, uncertainty, project decision making

DOI: 10.3233/JIFS-182847

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Guevara, Edgar | Flores-Castro, Jorge-Arturo | Peng, Ke | Nguyen, Dang Khoa | Lesage, Frédéric | Pouliot, Philippe | Rosas-Romero, Roberto

Article Type: Research Article

Abstract: Research to predict epileptic seizures has been mainly focused on the analysis of electroencephalography (EEG) signals; however, recent research efforts have encouraged the use of a relatively new optical signal modality, called functional Near-Infrared Spectroscopy (fNIRS). In fNIRS, near-infrared light is injected into the scalp and the intensity of the reflected light is registered in optodes. Light absorption in hemoglobin depends on the level of blood oxygenation, which is related to brain activity. In this technique, two parameters are measured at each optode, the relative level of oxygenated hemoglobin (HbO) and the relative level of deoxygenated …hemoglobin (HbR). In this work we investigated the feasibility of predicting epileptic seizures, using either fNIRS, EEG, or a combination of both signals. In one set of experiments, different implementations for epileptic seizure prediction are tested by using (1) different combinations of electrical and optical signals (EEG, HbO, HbR, EEG+HbO, EEG+HbR, HbO+HbR, EEG+HbO+HbR) and (2) two different classifiers, (Support Vector Machine - SVM and Multi-Layer Perceptron - MLP). In the second set of experiments, seizures are predicted within a five-minute window that is moved up to 15 minutes before the start of the epileptic seizure. By computing the@@ Positive Predictive Value (PPV) and the accuracy , it is demonstrated that fNIRS-based epileptic prediction outperforms EEG-based epileptic prediction. By using optical signals and the SVM classifier, a PPV greater than 99% and an accuracy of 100% were obtained. PPV values of 100% are also obtained when seizures are predicted up to 15 minutes in advance. Furthermore, Kernel Discriminant Analysis (KDA) is used to demonstrate that the highest separability among the classes, corresponding to different epileptic signal phases (pre-ictal , ictal , and inter-ictal ), is achieved when fNIRS recordings are used as features for prediction. Finally, fNIRS-based epileptic seizure prediction is tested with Random Chance classifiers. In this study, we showed that fNIRS signals are an effective tool to predict epileptic seizures, even without the use of EEG signals, which are the current standard for seizure prediction. Show more

Keywords: epileptic seizure, seizure prediction, functional near infra red spectroscopy (fNIRS), electroencephalogram (EEG), multi-layer perceptron (MLP), support vector machine (SVM)

DOI: 10.3233/JIFS-190738

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Henselmeyer, Sylwia | Grzegorzek, Marchin

Article Type: Research Article

Abstract: The paper presents a novel approach for hourly short term forecast of load active power using discrete state Hidden Markov Models. The load data used belongs to the New York Independent System Operator (NYISO) and has been recorded in the years 2014-2017. In the first step, features the best explaining load power changes from the set of weather data, market data (price for load, losses or congestion) and calendar data (day type, day of week, season) are defined. Due to strong seasonality in the data, also a filtering step is included. Finally, the forecast itself is executed with 24 discrete …state Hidden Markov Models with a high number of states. Besides the direct comparison with the forecast results obtained by NYISO, the approach is evaluated using an additional benchmark method. Show more

Keywords: Short term load forecast, discrete state Hidden Markov Model, gaussian mixture model, multivariate gauss distribution, clustering, filtering, euclidean distance

DOI: 10.3233/JIFS-191036

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Lin, Yang | Wang, Ying-Ming | Yan, Longzhong

Article Type: Research Article

Abstract: The theory of hesitant fuzzy set is powerful in capturing fuzziness when a decision maker hesitates among some possible values in assessment. In this paper, a novel method is developed for weight determination based on the hesitant fuzzy cosine similarity. This method fully considers the impact of each criterion as well as their mutual relationship on decision analysis. Additionally, we extend this cosine similarity-based method for deriving priorities from a hesitant multiplicative preference relation. This method has a clearer modeling mechanism that the priority vector derived from a hesitant multiplicative preference relation should be as highly cosine-similarity correlated with its …column vectors as possible. Then an optimization model can be sequentially established. After that, the proposed methods are demonstrated with two numerical examples and compared with other similar approaches to show the validity and superiority. Show more

Keywords: Hesitant fuzzy set, hesitant multiplicative preference relation, cosine similarity, weights determination, multi-criteria decision making

DOI: 10.3233/JIFS-191034

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Wang, Huan-Huan | Tian, Sheng-Wei | Yu, Long | Wang, Xian-Xian | Qi, Qing-Shan | Chen, Ji-Hong

Article Type: Research Article

Abstract: A convolutional neural network combined with attention mechanism and a parallel joint algorithm model (CATTB) of bidirectional independent recurrent neural network are proposed. The algorithm extracts the relocation feature and the “texture fingerprint” feature for expressing the similarity of the URL (Uniform Resource Locator) binary file content of the malicious web page, and uses the word vector tool word2vec to train the URL word vector feature and extract the URL static vocabulary feature. CNN (Convolutional Neural Network) is used to extract deep local features. Secondly, Attention mechanism adjusts weight and BiIndRNN (Bidirectional Independently Recurrent Neural Network) to extract global features. …Finally, softmax is used for classification. This paper extracts more comprehensive features from different angles and using different methods. The experimental results show that the test results are higher than other researchers, and compared with other algorithms, the proposed CATTB algorithm improves the accuracy of malicious web page detection. Show more

Keywords: Malicious webpages, convolutional neural network, attention mechanism, bidirectional independently recurrent neural network

DOI: 10.3233/JIFS-190455

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Lu, Haishu | Li, Rong | Zhang, Kai

Article Type: Research Article

Abstract: This paper introduces new concepts of fuzzy generalized quasi-weak transfer continuity and fuzzy generalized pseudo quasi-weak transfer continuity for fuzzy generalized discontinuous games with infinite players. Furthermore, by using a collectively maximal element theorem, we obtain some new existence results of Nash equilibria in fuzzy generalized discontinuous games with infinite players. Finally, as applications, some existence results of Nash equilibria in generalized discontinuous games are given in crisp senses. The results presented in this paper improve and generalize some known results in the literature.

Keywords: Fuzzy generalized discontinuous game, Nash equilibrium, maximal element, transfer continuity

DOI: 10.3233/JIFS-182954

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2019

Authors: Yasrebi, Mohammad | Rafe, Vahid | parvin, Hamid | Nejatian, Samad

Article Type: Research Article

Abstract: Since complexity of computer systems is growing increasingly, assuring flawless operation of these systems has become more difficult. Therefore, it is important that these systems whether software or hardware are executed as expected. Consequently, verifying system before implementation at model level is necessary. Model checking is a formal technique for validating the system automatically which decides whether the finite state system satisfies temporal property by scanning the whole state space or not. One of the most important problems in model checking is state space explosion of models which results in memory shortage in generation of all states. Therefore, this paper …presents a method which employs machine learning techniques without exploring the whole state space to predict temporal properties of trajectories in systems based on graph transmission system. the proposed method is implemented in Groove; results indicate desirable accuracy and speed of this method compared to other methods. Show more

DOI: 10.3233/JIFS-190023

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Abulaish, Muhammad | Bhat, Ishfaq Majid | Bhat, Sajid Yousuf

Article Type: Research Article

Abstract:  Community detection from networks is one of the long standing and challenging tasks in the field of complex network research. Detection of communities poses numerous challenges in terms of their overlapping and hierarchical nature, dynamics of networks and underlying communities, scalability of detection algorithms on large scale networks to mention a few. Traditional community detection methods are not readily scalable to large networks mainly due to the computation of global network metrics. This paper presents a novel scalable overlapping community detection approach for large scale networks by presenting a MapReduce framework based implementation of a density-based local community detection …method. The method is divided in two stages where the first stage uses a MapReduce approach to identify a mutual-core connected subgraph of the underlying network. The second stage uses an existing connected component detection method, implemented via MapReduce , to identify connected components in the mutual-core connected subgraph generated in the first stage. A community is then taken as the union of the core-nodes in a connected component and the respective density-based neighborhood of each core-node in the connected component. The resulting approach is among the first scalable overlapping community detection methods proposed in literature. Show more

Keywords: Community detection, overlapping community, connected components, mapreduce, large-scale networks

DOI: 10.3233/JIFS-182765

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Wu, Jian-Zhang | Xi, Rui-Jie | Zhu, Ye

Article Type: Research Article

Abstract:  The Choquet capacity and integral is an efficient tool to flexibly show the decision maker’s correlative preference information on multiple decision criteria as well as decision alternatives. In this paper, we enrich the capacity and Choquet integral based decision making scheme from two aspects. The first aspect is to introduce the multiple goals linear programming to aid the decision maker to find out and adjust the inconsistency among the correlative preference information, which needs little prior knowledge of field but can identify the inconsistent constraints efficiently and give the adjust suggestions flexibly. The second aspect is to propose a random …simulation based comprehensive decision aid algorithm to show the dominance relationships between all decision alternatives and then unify them into the most creditable ranking order of alternatives, which is quite different to the thought of unique representative ranking order accomplished by the optimization model of some existing methods. An illustrative example is given to show that the enriched decision making scheme is robust to deal with the inconsistent correlative preference information and also practicable to obtain the comprehensive dominance relationship of multiple decision alternatives. Show more

Keywords: Decision preference information, capacity, inconsistency check and adjustment, multiple goals linear programming, comprehensive dominance relationship

DOI: 10.3233/JIFS-190652

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Algarni, M. | Al-Ghamdi, H. | Abdel-Khalek, S.

Article Type: Research Article

Abstract: Quantum information technology depends on an invaluable and tenuous resource, named quantum correlation, that shows strong significant manifestation of the coherent overlap of states of a combined quantum systems. So the quantifier of this resource under factual conditions that is, whereas corrupted via generalized optical radiation field states is still limited, and common statements on entanglement dynamics. In this article, we describe quantitatively the nonlocal correlation between a two-qubit and squeezed thermal field. Especially, considering the effect thermal photons and number of photons transition between the two qubits and squeezed thermal field. Also, the Mandel parameter, entanglement and atomic Fisher …information over the time evolution as a function of implicated parameters in the system are investigated. We have shown that the squeeze parameter and thermal photons have a potential effect of the dynamical properties of the atomic Fisher information, Mandel parameter and entanglement. Also, the AFI is very sensitive to the field parameters rather than the number of photons transition. Furthermore, the results interpreted in the case of thermal environment considering the effect of thermal photons and squeeze parameter on the evolution of the system under consideration. Show more

Keywords: Atomic Fisher information, entanglement, squeezed thermal field, concurrence, Mandel parameter.

DOI: 10.3233/JIFS-179532

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019

Authors: Tang, Ziyuan | Srivastava, Gautam | Liu, Shuai

Article Type: Research Article

Abstract: Current accounting methods for small and medium-sized enterprises (SMEs) have long running times and low user satisfaction. Therefore, a method for the selection of accounting models for SME s based on accounting market big data (AMBD ) is proposed in this paper. Firstly, some indicators such as the current ratio, quick ratio, asset-liability ratio, accounts receivable turnover rate, and other indicators taken from the solvency, operating capacity, profitability, and growth capacity of a company are selected to set up an AMBD constraint system. Then, the principal component analysis method is used to achieve the classification of the constraints of …the AMBD . Finally, by combining particle swarm optimization with ant colony optimization, the optimal accounting model is obtained through iteration. Experimental results show that the proposed method has high efficiency and user satisfaction, and achieves a high coefficient of rationality. Furthermore, the method incorporates the constraints found in the AMBD , and meets the selection requirements of the SME accounting model. Show more

Keywords: Ant colony optimization, swarm intelligence, accounting, big data, market constraints, accounting models, choice

DOI: 10.3233/JIFS-179530

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Boulaaras, Salah | Allahem, Ali

Article Type: Research Article

Abstract: Motivated by our recent publication in ([9 ]), which was supported during the academic year 2016/1437 by the Deanship of Scientific Research in Project 1175, we will develop the previous mathematical model into a two-dimensional model of the transition equations of some pollutants and their rapid spread in a particular liquid, taking into account the given stability analysis of the numerical method which based on finite difference time scheme combined with Galerkin special approximation. This method has been given by our published work in ([12 ]).

Keywords: Mathematical model, transport propagation equations, pollution, finite elements, finite differences timescheme

DOI: 10.3233/JIFS-179534

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Wu, Xia | Zhang, Jialu | Zhong, Jiaming

Article Type: Research Article

Abstract: In this paper, information entropy about logarithmic form is used to measure uncertainty of knowledge, and the correlation connection between information entropy, conditional information entropy, joint information entropy and mutual information entropy are analyzed. Correlation coefficient ρ  (B , C ) between two attribute subsets in random information systems and ρ  (C /  - B ) for a conditional attributes set B relative to another condition attributes set C w.r.t. the decision attributes set D in random decision information systems are introduced. The properties of correlation coefficients are discussed, and some concepts about random information systems and random decision …information systems, such as indispensable attributes, consistent attributes and core attributes, etc, are described by using correlation coefficients. Some new methods of attribute reduction are proposed by using correlation coefficients, the corresponding algorithms based on attribute correlation coefficient are given in random information systems and in random decision information systems, the listed examples and the experimental result show that the algorithms are effective. Show more

Keywords: Random decision information system, probability distribution of attributes set, information entropy of attributes set, correlation coefficient, attribute reduction

DOI: 10.3233/JIFS-179533

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Yu, Mingchao | Li, Gongfa | Jiang, Du | Jiang, Guozhang | Zeng, Fei | Zhao, Haoyi | Chen, Disi

Article Type: Research Article

Abstract: In view of the fact that independent gesture recognition cannot fully meet the natural, convenient and effective needs of actual human-computer interaction, this paper analyzes the current research status of gesture recognition based on EMG signal, and considers the practical application value of EMG signal processing in prosthetic limb control, mobile device manipulation and sign language recognition. Therefore, in this paper, the particle swarm optimization (PSO) algorithm is used to optimize the center value and the width value of the radial basis function in the RBF neural network. And the author uses the EMG signal acquisition device and the electrode …sleeve to collect the four-channel continuous EMG signals generated by eight consecutive gestures. Then, the author performs noise reduction and active segment detection based on the summation, and extracts the well-known 5 time domain features. Finally, the data obtained are normalized and divided into training set and test set to train and test the classifier. Simulation experiments show that the RBF neural network which optimizes the center value and width value of radial basis functions via particle swarm optimization algorithm achieves a high recognition rate in continuous gesture recognition. Show more

Keywords: Particle swarm optimization, RBF neural network, electromyogram signal, continuous gesture

DOI: 10.3233/JIFS-179535

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Wang, Xiaohong | Wu, Huaiqin | Cao, Jinde

Article Type: Research Article

Abstract: This paper is concerned with the global leader-following consensus issue for fractional-order nonlinear multi-agent systems, where the inherent dynamics is modeled to be discontinuous, and subject to nonlinear growth. A new nonlinear control protocol, which includes discontinuous factors, is designed to realize the global leader-following consensus goal. Under fractional Filippov differential inclusion framework, by applying fractional Lyapunov functional approach and Clarke’s non-smooth analysis technique, the sufficient conditions with respect to the global consensus in finite time is achieved. In addition, the upper bound of the setting time is explicitly evaluated for the global leader-following consensus in finite time. Finally, two …examples are performed to verify the feasibility of the proposed control protocol and the validity of the theoretical results. Show more

Keywords: Fractional multi-agent systems, global finite-time consensus, discontinuous inherent dynamics, fractional Lyapunov functional approach

DOI: 10.3233/JIFS-179529

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Elaiw, Ahmed M. | Almalki, Sami E. | Hobiny, A.D.

Article Type: Research Article

Abstract: This paper investigates the global dynamics of Chikungunya virus (CHIKV) infection model with antibody immune response. We incorporate two ways of transmissions CHIKV-to-cell and cell-to-cell. We incorporate three types of discrete time delays into the model. The first time delay is the time between CHIKV entry an uninfected monocyte to become latent infected. The second time delay is the time between CHIKV entry on uninfected monocyte and the production of immature CHIKV. The third time delay represents the CHIKV’s maturation time. Nonnegativity and boundedness properties of the solutions are proven. Further, global stability of the equilibria is established by constructing …Lyapunov functions and by applying applying LaSalle’s invariance principle. Show more

Keywords: Chikungunya infection, global stability, Lyapunov function, time delay, latency, cell-to-cell transmission

DOI: 10.3233/JIFS-179531

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Chen, Kelvin H.-C. | Wei, Hui-Chuan | Li, Ai-Tzu | Wang, Wei-Ni | Liao, Yu-Hsien

Article Type: Research Article

Abstract: By considering the supreme-utilities among fuzzy action vectors, we adopt several sensible inequality constraints to propose a different generalization of the core on multicriteria fuzzy transferable-utility (TU) games. We also adopt the duality results of linear programming theory to analyze the non-emptiness for this extended core under inequality constraints. Further, we define an extended reduction to characterize this extended core. Based on the notion of domination among fuzzy payoff vectors, some coincidences are investigated.

Keywords: Multicriteria fuzzy TU games, the core, supreme-utilities, inequality constraint, domination

DOI: 10.3233/JIFS-18811

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Yang, Hanbiao | Zeng, Dongcheng

Article Type: Research Article

Abstract:  In this paper, for a non-degenerate convex set Y in R n containing 0 , two special function spaces S 0  (Y ) and E 0  (Y ) which consist of all fuzzy star-shaped numbers and of all fuzzy numbers in R n with respect to 0 and their supports being included in Y with the endograph metric D are investigated. Some conclusions and methods in topology are used to discuss the topological structure of (S 0  (Y ) , D ) and the pair ((S 0  (Y ) , …D ) , (E 0  (Y ) , D )). The main results are as follows: 1. The space (S 0  (Y ) , D ) is homeomorphic to the Hilbert cube Q  = [-1, 1] N if and only if S 0  (Y ) is compact if and only if Y is compact. 2. There exists a homeomorphism h  : (S 0  (Y ) , D ) → Q such that h  (E 0  (Y )) = {1} × [-1, 1] N \{1} if Y is compact but not a segment. 3. The space (S 0  (Y ) , D ) homeomorphic to the pseudoboundary of the Hilbert cube if and only if S 0  (Y ) is non-compact and σ -compact if and only if Y is non-compact and locally compact. Show more

Keywords: Fuzzy star-shaped numbers, fuzzy numbers, the endograph metric, the Hilbert cube, the pseudoboundary of the Hilbert cube

DOI: 10.3233/JIFS-190272

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Pereira, Javier | de Oliveira, Elaine C.B. | Morais, Danielle C. | Costa, Ana Paula C.S. | Arroyo-López, Pilar

Article Type: Research Article

Abstract: ELECTRE TRI, a family of multi-criteria methods used to sort alternatives into preference-ordered categories, defines an outranking function to measure the membership degree of an alternative to a category, whenever imprecise evaluations are available. Recent extensions use Hesitant Fuzzy Sets (HFS) to consider uncertain evaluations. However, deterministic parameters are considered, which avoids the application to cases in which non-fuzzy scores and unstable parameters are available. In this study, an approach is proposed for: 1) modeling hesitant outranking functions originated from unstable parameters provided by several DMs; 2) using the HFS to calculate the ELECTRE TRI-C indices; 3) reducing the DMs …cognitive effort when they are asked to provide information. An application to supplier development is presented by using ELECTRE TRI-C. Results are compared by using different HFS aggregation operators and sensitivity analysis shows that a robust conclusion can be obtained. Future lines of research are also suggested. Show more

Keywords: ELECTRE TRI-C, hesitant fuzzy sets, sensitivity analysis, supplier development

DOI: 10.3233/JIFS-190166

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Li, Yongkun | Wang, Chun

Article Type: Research Article

Abstract:  In this paper, we consider a class of quaternion-valued inertial neural networks with time-varying delays. First, by applying a continuation theorem of coincidence degree theory, we establish the existence of anti-periodic solutions of the considered neural networks. Second, by choosing a proper variable substitution, we transform the neural networks into a system of first order differential equations, and by constructing a suitable Lyapunov function, we derive a set of sufficient conditions ensuring the global exponential stability of the system. Finally, we give two examples to illustrate the effectiveness of our results.

Keywords: Quaternion-valued inertial neural networks, anti-periodic solutions, coincidence degree, exponential stability

DOI: 10.3233/JIFS-182731

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-17, 2019

Authors: Pandey, Prateek | Litoriya, Ratnesh

Article Type: Research Article

Abstract: Irrespective of the nature of the software, the choice of a software development process plays a crucial role. A good choice may help expand the business to heights while a bad choice may wreak havoc for the stakeholders. Therefore, selecting the right software development process is an indispensable element during project planning. Undoubtedly, web-based applications differ from conventional software and are becoming so popular in society due to their distinguishing features and widespread coverage. Web application software is generally found fit candidates to be developed according to agile software processes. This article attempts to provide a model for advising an …agile software process during the planning phase of a web application development project. The proposed model takes into account the underlying web project characteristics and uses the Fuzzy Analytic Hierarchy Process (FAHP) along with TOPSIS techniques for suitable agile candidate selection. The model is also validated on a primary dataset obtained by developing twenty web application projects through four student teams. The results show that the proposed model is successful in suggesting a correct agile process with a probability of the order of 0.8. Show more

Keywords: Agile process, fuzzy AHP, TOPSIS, web application, identification model

DOI: 10.3233/JIFS-190508

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Yang, Eunsuk

Article Type: Research Article

Abstract:  This paper investigates standard completeness for substructural fuzzy logics based on mianorms with n -contraction and n -mingle axioms. For this, first, right and left n -contractive and n -mingle logic systems based on mianorms , their corresponding algebraic structures, and their algebraic completeness results are discussed. Next, completeness with respect to algebras whose lattice reduct is [0, 1], known as standard completeness , is established for these systems via Yang’s construction in the style of Jenei–Montagna. Finally, further standard completeness results are introduced for their fixpointed involutive extensions.

Keywords: Mianorms, substructural logic, fuzzy logic, semilinear logic, mianorm-based logic

DOI: 10.3233/JIFS-190150

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Boulaaras, Salah

Article Type: Research Article

Abstract:  In this paper, some new existence results of elliptic equation of Kirchhoff-type with changing sign data and logarithmic source terms are proved, by using three different methods: direct variational method, Galerkin approach and sub-super solutions method. Our study is natural extensions from the previous recent works in [2–19, 24, 38 ], where the authors have already studied the existence of positive solutions for some classes of Laplacian elliptic problems by using one classical method for a certain class of elliptic equations.

Keywords: Kirchhoff, existence, sub-supersolution, galerkin approach, elliptic equation

DOI: 10.3233/JIFS-190885

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-10, 2019

Authors: Samanlioglu, Funda | Ayağ, Zeki

Article Type: Research Article

Abstract: In this study, an intelligent approach is presented for the evaluation and selection of innovation projects. Selecting the best innovation project is a complicated multiple criteria decision making (MCDM) problem with several potentially competing quantitative and qualitative criteria. In this paper, two hesitant fuzzy MCDM methods; hesitant fuzzy Analytic Hierarchy Process (hesitant F-AHP) and hesitant fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (hesitant F-VIKOR) are integrated to evaluate and rank innovation projects. In the hesitant fuzzy AHP-VIKOR, hesitant F-AHP is used to find fuzzy evaluation criteria weights and hesitant F-VIKOR is implemented to rank innovation project alternatives. A numerical example is …given where five innovation projects are evaluated based on nine criteria by three decision makers. Show more

Keywords: Innovation project selection, fuzzy, multiple-criteria decision making, AHP, VIKOR

DOI: 10.3233/JIFS-179458

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Kutlu Gündoğdu, Fatma

Article Type: Research Article

Abstract:  The three dimensional extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS) aim at collecting experts’ judgments based on membership, non-membership and hesitancy degrees. Generalized three-dimensional spherical fuzzy sets have been introduced to the literature, including their arithmetic operations, aggregation operators, and defuzzfication operations. Expansion of classical Multi-Objective Optimization by a Ratio Analysis plus the Full Multiplicative Form (MULTIMOORA) has been performed by using ordinary fuzzy, hesitant fuzzy, intuitionistic fuzzy, and neutrosophic sets in the literature. I aim at developing the spherical fuzzy MULTIMOORA method since the spherical fuzzy point …of view can contribute to this multicriteria decision environment. By using spherical fuzzy sets (SFS), the MULTIMOORA method can be more efficient for solving complex problems, which require evaluation and estimation under unreliable data environment. The validation of the proposed approach is shown through an illustrative example. Additionally, comparative analyses with neutrosophic MULTIMOORA and intuitionistic fuzzy TOPSIS methods are presented. Show more

Keywords: Spherical fuzzy sets, multicriteria decision making, MULTIMOORA, personnel selection, TOPSIS

DOI: 10.3233/JIFS-179462

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-16, 2019

Authors: Zhang, Shuo | Zhao, Xuan | Lei, Wubin | Yu, Qiang | Wang, Yibo

Article Type: Research Article

Abstract: On account of the limitations of single sensor in obstacle detection, the paper investigates an obstacle detection method based on the fusion of 3D LiDAR and monocular visual. The spatial data fusion of the two sensors is realized according to their calibration results, and the time data fusion is realized by using double buffer technology. Considering the aspect ratio of vehicles, the image region of interest is determined based on the obstacle clustering of 3D LiDAR data. By using Haar-like features as effective characteristic of the front vehicle, integral figure is applied to extract Haar-like features of vehicle samples and …non-vehicle samples. AdaBoost algorithm is used to choose weak classifiers to constitute strong classifiers, which combine into the cascade classifier. The cascade classifier has been trained to identify the vehicle target in the image region of interest. The relevant experimental results verify the effectiveness and real-time performance of the detection method. Show more

Keywords: Obstacle detection, multi-sensor fusion, vehicle identification, AdaBoost algorithm

DOI: 10.3233/JIFS-179412

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Zare, Tahereh | Jafarpour, Morteza | Çitak, Filiz | Aghabozorgi, Hossien

Article Type: Research Article

Abstract:  In this paper first, we define the notions of left and right soft int-hypergroups and derive some of their basic properties. Second, we study these concepts in the context of complete hypergroups and polygroups. Then, we introduce the notions of left and right soft int-additive hyperrings and soft int-hyperideal. In special case we study these notions for the class of Krasner hyperrings. Finally, a characterization of soft int-hyperideal for the class of Krasner hyperfields is investigated.

Keywords: left(right) soft int-hypergroup, soft int-polygroup, left(right) soft int-additive hyperring, soft int-hyperideal

DOI: 10.3233/JIFS-190791

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Naeem, Khalid | Riaz, Muhammad | Afzal, Deeba

Article Type: Research Article

Abstract:  The prevailing structures like intuitionistic fuzzy sets, Pythagorean fuzzy sets and m -polar fuzzy sets etc. have their own deficiencies and limitations. There are many real life situations where multi-polar information is available and these structures fail to work due to their limitations e.g. in medical diagnosis sometimes some tests are repeated time and again to get multiple readings about symptoms to get a better diagnosis of a diseases. The motivation behind this article is to overcome these deficiencies by introducing a novel sort of set entitled Pythagorean m -polar fuzzy set (Pm FS) as hybrid structure of Pythagorean fuzzy …set and m -polar fuzzy set, m being some cardinal number. For m  = 1, this set dwindles to Pythagorean fuzzy set and becomes Pythagorean bipolar fuzzy set for m  = 2. We take the advantage to present a number of algebraic operations and some characteristics of Pm FSs. We define some linguistic terms using the notion of product of Pm FSs (⊗) by assigning different numeric values to the constant k  ∈ [0, ∞ [ and present an illustration to determine the values of membership and non-membership functions of Pm FSs for lower, middle and upper class regarding economic position. We render an application of Pm FSs in decision making problem (DMP) of selection of most appropriate mode of advertisement using the well-known tool TOPSIS. Show more

Keywords: Pythagorean m-polar fuzzy set, algebraic operations on PmFSs, α- & (α, β)-cut, decision making, TOPSIS

DOI: 10.3233/JIFS-191087

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-18, 2019

Authors: Zhao, Youen | Ji, Xiuhua | Liu, Zhaoguang

Article Type: Research Article

Abstract: Blind image quality assessment (BIQA) aims to evaluate the quality of an image without information regarding its reference image. In this paper, we proposed a novel BIQA method, which combines thirty six natural scene statistics (NSS) features, two color statistics features and four perceptual features to construct an image quality assessment model. Support Vector Regression (SVR) is adopted to build the relationship between these features and image quality scores, yielding a measure of image quality. Experimental results in LIVE, TID2013 databases and their cross validations show that the proposed method records a higher correlations with human subjective judgments of visual …quality and delivers highly competitive performance with state-of-the-art BIQA models. Show more

Keywords: Blind image quality assessment, natural scene statistics feature, perceptual feature, color statistics feature, support vector regression

DOI: 10.3233/JIFS-190998

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Zhu, Ye | Shen, Xuanjing | Liu, Yi

Article Type: Research Article

Abstract: To abandon the use of overlapping block division and resist the tampering factor of illumination change, a novel copy-move forgery detection method is proposed based on Maximally Stable Extremal Regions (MSERs) and the Local Intensity Order Pattern (LIOP), that integrates block-based and keypoints-based methods. The method involves the following steps: first, affine transformation invariant MSERs are used to maintain the geometrical transformation invariance and reduce computational complexity; second, LIOP features are used to describe the texture and resist illumination change; and finally, RANdom SAmple Consensus is applied to remove false matches. The experiments indicate that the proposed method has great …performance for scaling, rotation and illumination changes. Moreover, the method has the high robustness to Gaussian noise, Gaussian blur and JPEG compression. Show more

Keywords: Image forensics, copy-move forgery detection, maximally stable extremal regions, local intensity order pattern

DOI: 10.3233/JIFS-182647

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Tao, Ning | Tao, Gou | Peng, Zhang

Article Type: Research Article

Abstract: Focus on the distribution vehicle scheduling problem under travel time delay, a series of rescue modes generalized from practical vehicle planner’ experiences were presented. The measurement method of value function based on prospect theory and the disruption management strategy of customer’s psychological perception are put forward in this paper. A multi-objective optimization model for disruption management of logistics distribution is established through multi-objective programming at first. Next, the idea of gradual optimization for the target to obtain the terminal logistics distribution adjustment scheme with minimum disturbance is introduced. Acting the customer’s psychological perception time as the reference point, the degree …of the customer’s psychological perception of the expected time of goods is measured with the prospect theory. In order to optimize the disruption management model and search the optimum solution of multi-objective optimization problem, an improved quantum bacterial foraging algorithm is proposed. The effectiveness and practicability of the proposed method is verified through the comparison and analysis with rescheduling method. Show more

Keywords: Travel time delay, terminal logistics, disruption management, psychological perception, prospect theory

DOI: 10.3233/JIFS-190916

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-9, 2019

Authors: Perveen P.A., Fathima | Sunil, Jacob John | Babitha, K.V. | Garg, Harish

Article Type: Research Article

Abstract:  In this paper, the definition of spherical fuzzy soft sets and some of its properties are introduced. Spherical fuzzy soft sets are a generalization of soft sets. Notably, we showed DeMorgan’s laws that are valid in spherical fuzzy soft set theory. Also, we propose an algorithm to solve the decision-making problem based on adjustable soft discernibility matrix. It gives an order relation between all the objects of our universe. Finally, an illustrative example is discussed to prove that they can be effectively used to solve problems with uncertainties.

Keywords: Soft sets, spherical fuzzy sets, spherical fuzzy soft sets, soft discernibility matrix, decision-making problem

DOI: 10.3233/JIFS-190728

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Vu, Ho | An, Truong Vinh | Van Hoa, Ngo

Article Type: Research Article

Abstract:  In this work, by using the Caputo-Hadamard fractional derivative concept, we propose a new class of fuzzy functional differential equation. In this sense, we establish the existence of the solution, the Ulam-Hyers stability and the Ulam-Hyers-Mittag-Leffler stability for the given problem by means of successive approximation method.

Keywords: Fuzzy-type Caputo-Hadamard fractional derivative, Ulam-Hyers-Mittag-Leffler stability theory, delay fractional fuzzy problems

DOI: 10.3233/JIFS-191025

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Wang, Yadong | Shi, Quan | Hu, Qiwei

Article Type: Research Article

Abstract: In order to solve the problem of multi-period material supply in emergency logistics network, a dynamic multi-objective optimization mathematical model with constraints is constructed. The model takes the minimum cost and the maximum fill rate of demands as the objectives, and takes the location of distribution centers and the allocation of material as the decision variables. A dynamic self-adaptive multi-objective differential evolution algorithm is proposed to solve the mathematical model, and the feasible non-dominated solutions of the model are obtained. In the improved algorithm, on the one hand, a new environment change detect operator and a new environment change response …strategy are adopted so that the traditional static optimization algorithm can be used to solve the dynamic optimization problem. On the other hand, the improved algorithm adopts adaptive mutation strategy to improve the ability of global exploration and local exploitation. Case study shows that the improved strategy greatly improves the performance of the algorithm, and can solve the dynamic multi-objective optimization problem effectively. Show more

Keywords: Emergency logistics network, multi objective optimization, dynamic optimization, evolutionary algorithm, self-adaption

DOI: 10.3233/JIFS-191130

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Akram, Muhammad | Muhammad, Ghulam | Hussain, Nawab

Article Type: Research Article

Abstract:  The notions of center and distance between two Parametric Bipolar Fuzzy Numbers (PBFNs) by giving the preference of right dominance as compared to the left dominance are presented. The solution of Bipolar Fuzzy System of Linear Equations (BFSLEs) is discussed with polynomial parametric bipolar fuzzy number coefficients matrix having crisp real variables and the right-hand side is polynomial parametric bipolar fuzzy numbers. Some of their related properties are investigated. It is proved that if the real coefficient matrix considered as crisp in an original system, while the unknown variable vectors and Right Hand Side (RHS) column vector functions are treated …as PBFNs, then initially, the general BFSLEs in polynomial parametric form is solved by the addition and subtraction of the vectors of the lower and upper bound, respectively. The solution procedure is computationally efficient in a bipolar fuzzy environment, and our proposed method is simple as well as efficient to handle the BFSLEs. Show more

Keywords: Polynomial PBFNs, center, distance, BFSLEs

DOI: 10.3233/JIFS-190764

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-13, 2019

Authors: Gülle, Esra

Article Type: Research Article

Abstract: In this paper, we study the concepts of Wijsman asymptotically statistical equivalence of order α , Wijsman asymptotically strongly p -Cesàro equivalence of order α and Hausdorff asymptotically statistical equivalence of order α for double set sequences. Also, we research some properties of these concepts and give the inclusion relationships between them.

Keywords: Asymptotic equivalence, statistical convergence, Cesàro summability, order α, Wijsman convergence, Hausdorff convergence, double set sequences

DOI: 10.3233/JIFS-190796

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019

Authors: Zhang, Pengyu | Huang, Junchu | Zhou, Zhiheng | Chen, Zengqun | Shang, Junyuan | Niu, Chang | Yang, Zhiwei

Article Type: Research Article

Abstract: Unsupervised domain adaptation (UDA) aims to build a classifier for the unlabeled target domain by transferring knowledge from a well-labeled source domain. Recently deep domain adaptation methods can not effectively integrate discriminability with transferability of features, and these methods can only reduce, but not remove, the cross-domain discrepancy. To this end, this paper proposes a new domain adaptation method called Joint Category-Level and Discriminative Feature Learning Network (CDN). CDN not only achieves domain adaptation by minimizing category-level distribution discrepancy between domains but also learns discriminative feature representations via maximizing inter-category distance and selecting transferability samples simultaneously. Moreover, we develop a …Transferability Weighting Module (TWM), which is based on a constructed classifier, to further strengthen the discriminability of sample’s features. The experimental results demonstrate that CDN can significantly decrease the cross-domain distribution inconsistency and further promote the classification performance. Show more

Keywords: Domain adaptation, deep learning, discriminative feature learning, transfer learning

DOI: 10.3233/JIFS-191136

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-12, 2019

Authors: Dündar, Erdinç | Akın, Nimet Pancaroğlu

Article Type: Research Article

Abstract:  In this paper, we introduce the notions of regularly ( I W 2 , I W ) -convergence, regularly ( I W 2 * , I W * ) -convergence, regularly ( I W 2 , I W ) -Cauchy and regularly ( I W 2 * , I W * ) -Cauchy double sequence of sets and investigate the relationship among them.

Keywords: Regularly ideal convergence, double sequence of sets, Wijsman convergence

DOI: 10.3233/JIFS-190626

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Yavuz, Enes

Article Type: Research Article

Abstract:  We introduce semicontinuous summation methods for series of fuzzy numbers and give Tauberian conditions under which summation of a series of fuzzy numbers via generalized Dirichlet series and via generalized factorial series implies its convergence. Besides, we define the concept of level Fourier series of fuzzy valued functions and obtain results concerning the summation of level Fourier series.

Keywords: series of fuzzy numbers, Tauberian theorems, fuzzy Fourier series, 03E72, 40A05, 40E05

DOI: 10.3233/JIFS-190632

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-8, 2019

Authors: Naga Muneiah, Janapati | Subba Rao, Ch D. V.

Article Type: Research Article

Abstract: Telecom sector is hugely losing profits in different degrees due to various undesired classes of its customers. Churners, a certain class of customers shifting to the competitors, are the most undesired class of customers who are the predominant reason for the losses. Still, there are other classes of customers in this business who stay with the enterprise, but they are inactive in using the services and leading to uncertainty and an insignificant amount of profits. When data mining techniques are applied to such applications they produce customer models in the form of decision trees, etc. and provide customer’s class label …only such as churner/non-churner. Furthermore, they only focus on improving the technical interestingness measures of prediction models. Thus, very limited research has been carried out on turning the prediction results into useful decision making actions. Consequently, some manual work by domain expert has to be done to postprocess the model to obtain the actionable knowledge for changing the customer from undesired class to the desired one. However, some of the existing works are suggesting the actions to convert the class of the customer from one category to another, but they have limitations in that they do not generalize to more than two classes. In this paper, a novel algorithm, which aptly fits the multi-class setting of Telecom sector, is presented that suggest actions to change the customer from an undesired class to a desirable one with maximum net profit. We explain our proposed method with the help of a case study of the Telecom sector. Empirical tests are conducted on the case study problem and also on UCI benchmark data and shown that our method is effective and scalable. With the help of comparison with state-of-the-art methods and substantial experiments, we demonstrate the efficiency of the proposed method. Show more

Keywords: Data mining, probability estimation decision trees, actionable knowledge discovery, decision making, profit maximization, Telecom sector

DOI: 10.3233/JIFS-190628

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-31, 2019

Authors: Khan, Izaz Ullah | Karam, Fazal Wahab

Article Type: Research Article

Abstract: The study presents Proposed Data Envelopment Analysis (DEA) approaches for intelligent business analytics of the US Airline industry to gain more knowledge, control, flexibility and trade-off among various inputs to the system/industry. Three new proposed DEA models are presented. The results obtained provide credible data analytics and intelligent business suggestions. Firstly the proposed input oriented and the proposed output oriented DEA models are formulated. The proposed input oriented DEA model suggests how resource utilization can be minimized while operating in with the same output level. Further, the proposed output oriented model suggests how output efficiency can be increased to a …benchmark level while keeping the input at the same level. Then the proposed Slack Based DEA model SBM is formulated. The proposed models are then solved with the DEA Excel Solver for finding the efficient points in the Pareto Frontier. Representing the Pareto Frontier as a function of total system revenue gives necessary information about the inputs growth and their trade-off with the output. Furthermore, the proposed Slack Based DEA model (SBM) intelligently measures the technical efficiency of each airline. The results show that three airlines namely American, United and Jet Blue are weakly efficient operating below the proposed SBM efficient frontier. Furthermore, the results intelligently suggest the possible inputs reduction and outputs increases to get to the efficient frontier for the management of the concerned airlines. The proposed SBM slacks suggest the possible areas of improvement for future planning and optimal operating input/output levels for the top management of the weakly efficient airlines. Show more

Keywords: Performance evaluation, date envelopment analysis (DEA), slack based DEA model (SBM), airline industry

DOI: 10.3233/JIFS-190641

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-11, 2019

Authors: Jiang, Bao | Zou, Zezhou | Lio, Waichon | Li, Jian

Article Type: Research Article

Abstract:  Identifying the specific scale status by evaluating scale efficiency of each DMU (decision making unit) is critical for policy makers to make a correct decision on inefficiency improvement. Although some traditional DEA (Data Envelopment Analysis) models can evaluate different scale efficiencies and identify the specific status of each DMU, they are unable to deal with the evaluation indicators with imprecise observation. Therefore, we propose two different uncertain DEA models with imprecise inputs and outputs to recognize two scale status of increasing returns to scale (IRS) and decreasing returns to scale (DRS), which can better help policy makers make a correct …decision on inefficiency improvement without accurate data. Moreover, we analyse the stability of these uncertain DEA models to make effective suggestions for decision makers to further improve the inefficient DMUo or to adjust the inputs and outputs on the premise of remaining the new DMUo efficient. Show more

Keywords: Data envelopment analysis, uncertainty theory, specific scale efficiency identification, stability analysis

DOI: 10.3233/JIFS-190662

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-15, 2019

Authors: Amali, D. Geraldine Bessie | Dinakaran, M.

Article Type: Research Article

Abstract: This paper proposes a new metaheuristic global optimization algorithm inspired by Wildebeest herding behavior called Wildebeest Herd Optimization (WHO) algorithm. WHO algorithm mimics the way nomadic Wildebeest herds search vast areas of grasslands efficiently for regions of high food density. The WHO algorithm models five principal Wildebeest behaviors: firstly Wildebeests have limited eyesight and can only search for food locally, secondly Wildebeests stick to the herd to escape predators, thirdly Wildebeest herd as a whole migrates to regions of high food availability based on historical knowledge of annual grass growth rates and rainfall patterns, fourthly Wildebeests move out of crowded …overgrazed regions and finally Wildebeests move to avoid starvation. The WHO algorithm is compared to Physics inspired, Swarm based, Biologically inspired and Evolution inspired global optimization algorithms on an extended test suite of benchmark optimization problems including rotated, shifted, noisy and high dimensional problems. Extensive simulation results indicate that the WHO algorithm proposed in this paper significantly outperforms state-of-the-art popular metaheuristic optimization algorithms like Particle Swarm Optimization Algorithm (PSO), Genetic Algorithm (GA), Gravitational Search Algorithm (GSA), Artificial Bee Colony Algorithm (ABC) and Simulated Annealing (SA) on shifted, high dimensional and large search range problems. Show more

Keywords: Global optimization, biologically inspired metaheuristic, heuristic optimization, heuristic search algorithm

DOI: 10.3233/JIFS-190495

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-14, 2019

Authors: Akram, Muhammad | Adeel, Arooj

Article Type: Research Article

Abstract:  Hesitant fuzzy sets (HFSs) present a general structure to express the uncertain concepts and data that have been served as in most of the generalizations of fuzzy sets. In this research article, we introduce a novel hybrid model called hesitant m -polar fuzzy sets (Hm F-sets), which is a reasonable combination of HFSs with m -polar fuzzy sets (m F sets). It is the generalization of the concept HFSs, in which the membership degrees of an element of given set deals the m different numeric and fuzzy values that enables to deal the hesitancy of multipolar information. Hesitancy integrates …the conformity for the analysis of given data, and an m F format concedes to severalize the sources of multi-polar information. We highlight and explore some useful properties, construct fundamental operations and investigate comparison laws of Hm F-sets. Moreover, we develop the hesitant m -polar fuzzy TOPSIS approach for multi-criteria group decision-making (MCGDM), which is the natural extension of TOPSIS method and used to rank and choose the best alternative under Hm F positive and negative ideal solutions to this framework. We describe applications of Hm F-sets in group decision-making and apply our proposed method in real life examples to show its efficiency. Finally, we develop an algorithm that implements our decision-making procedure by using computer programming. Show more

Keywords: Hesitant fuzzy set, m-polar fuzzy set, hesitant m-polar fuzzy set, decision-making, TOPSIS

DOI: 10.3233/JIFS-190551

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-20, 2019

Authors: Ye, Tingqing | Ralescu, Dan A. | Jia, Lifen

Article Type: Research Article

Abstract: An Ellsberg urn is filled with n balls of m different colors and each ball is marked in only one color. However, the number of balls of each color is unknown, which should be regarded as uncertain variable. Moreover, since we randomly draw a ball from the urn, Ellsberg urn problems are a mixture of uncertainty and randomness. In order to deal with such problems, we can employ probability theory, uncertainty theory, and chance theory. Until now only the case m  = 3 has been studied. This paper is aimed at studying more general cases where m  > 3. It …is concluded that the chance of drawing a ball of one color is equal to that of drawing a ball of another color. Show more

Keywords: Ellsberg urn, uncertainty theory, chance theory, chance measure

DOI: 10.3233/JIFS-190761

Citation: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2019