Journal of Intelligent & Fuzzy Systems - Volume 37, issue 1

Authors: Elsanabary, Walaa | Gamal, Mona | Abou El-Fetouh, Ahmed | Elkhameesy, Nashaat

Article Type: Research Article

Abstract:  In the presence of high competition market, planning the infrastructures of Telecommunication Access Network (TAN) is one of the most important tasks facing telecommunication companies especially after the trend of using optical fiber cables. This infrastructure is controlled by a list of barriers which affect selecting the locations of the most widely used technology Multi Services Access Nodes (MSAN). Therefore, the importance of determining the appropriate location of MSANs is appeared. This paper presents the capabilities of the Artificial Bee Colony (ABC) to find the fuzzy classifications rules for the telecommunication MSANs locations based on a set of MSAN’s planning …barriers. This system starts by preparing the training data set using the benefits of Geographic Information System (GIS) for generating digital maps. The system helps in analyzing spatial data of existing TAN and the barriers which affect planning TAN. Afterwards, the system fuzzifies the MSAN’s planning barriers using Particle Swarm Optimization and Total Entropy as fitness function (PSO-TE). Then, the ABC capabilities, correlation function and confidence rate as a fitness function and the mamdani inference system are utilized to find the appropriate telecommunication fuzzy rules with respect of training data. The system ends by evaluating the generated telecommunication fuzzy rules for MSAN locations via comparing the result of proposed model with a number of classification algorithms found in literature based on the test data set. The total classification accuracy of the TFRML-ABC model is 97.8%. Hence, the proposed TFRML-ABC model is concluded to be efficient in classifying the MSAN’s features taking into consideration the misclassification rates. Show more

Keywords: Artificial bee colony (ABC), correlation, Min-Max mamdani inference system, particle swarm optimization-total entropy (PSO-TE), telecommunication access network (TAN), geographic information system (GIS), multi services access node (MSAN)

DOI: 10.3233/JIFS-181324

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 783-795, 2019

Authors: Chen, Ke | Luo, Yuedong

Article Type: Research Article

Abstract: This paper proposed a concept based on q-rung orthopair fuzzy sets (q-ROFSs) and linguistic term sets called q-rung orthopair linguistc sets (q-ROLSs). This study also investigates a novel multi-criteria decision-making (MCDM) approach in which the arguments take the form of q-ROLSs, we extend Muirhead mean (MM) aggregation operators under q-rung orthopair linguistic environment. Firstly, certain operational laws of q-ROLSs are investigated. Secondly, the q-rung orthopair linguistic Muirhead mean, the q-rung orthopair linguistic weighted Muirhead mean and the q-rung orthopair linguistic weighted geometric Muirhead mean operators are presented. Special cases of the q-rung orthopair linguistic Muirhead mean operators and their properties …are analysed. With these foundations as basis, an approach is developed to be applied to MCDM problems based on the proposed operators. Finally, a practical example is developed to illustrate this method and comparative analysis demonstrate the superiorities of the aggregation operators. Show more

Keywords: Multi-criteria decision making, q-rung orthopair linguistic sets, muirhead mean, aggregation operator

DOI: 10.3233/JIFS-181366

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 797-809, 2019

Authors: Kalpana, B. | Anusheela, N.

Article Type: Research Article

Abstract: This paper develops a latest mathematical model to derive the membership function of fuzzy retrial queue with single server queue model FM 1 , FM 2 /FM 1 , FM 2 /1 with priority and unequal service rates. The vital aim of this paper is to combine the parametric non linear programming technique and Yager’s ranking method. Using α - cut approach and Zadeh’s principle the fuzzy queues are changed into crisp queues in this paper. The membership function of the system characteristics is derived for different values of α . The numerical example is given to check the …validity of the model. Show more

Keywords: Fuzzy sets, membership function, nonlinear programming, priority, retrial queue

DOI: 10.3233/JIFS-181433

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 811-820, 2019

Authors: Salarpour, H. | Ghodrati Amiri, G. | Meysam Mousavi, S.

Article Type: Research Article

Abstract:  Housing market industry is the main factor of economic growth for each country to enhance the gross domestic product. In this respect, countries should implement the best strategy among the candidate strategies in each period to control the housing market for growing the economy and avoiding the impact of a sustainability crisis. Meanwhile, identifying the assessment criteria and recognizing the relative importance of them by regarding their interdependencies coherence could assist decision makers to apply and define the best strategy in each period. Also, in real complex cases, evaluating the criteria based on exact values in which the information is …incomplete or decision makers faced with qualitative criteria are impossible. To address the issue, dynamic interval-valued hesitant fuzzy set (DIVHFS) theory is an appropriate tool that allows experts to define some membership degrees under a set for different periods to suitably cover the dynamic uncertainty. However, this paper proposes a new dynamic hesitant fuzzy hierarchical group decision approach regarding a last aggregation concept for computing the criteria weights regarding the global and local weights by keeping away from the data loss. Thereby, the local weights of criteria are calculated by developing dynamic interval-valued hesitant fuzzy correlation and standard deviation method. Also, the global weight of each criterion is determined based on decision making trial and evaluation laboratory (DEMATEL) methodology regarding the interdependencies coherence of each criterion. In the process of proposed approach, the weight of each decision maker is specified based on manipulated dynamic interval-valued hesitant fuzzy compensatory degree technique to increase the reliability of obtained results. Finally, a real case study for specifying the relative importance of each sustainable criterion in housing market strategy selection problem is prepared to indicate the feasibility and performance of proposed dynamic hesitant fuzzy hierarchical group decision approach. Show more

Keywords: Dynamic interval-valued hesitant fuzzy sets, sustainable development, housing market management, criteria assessment, DEMATEL

DOI: 10.3233/JIFS-181482

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 821-833, 2019

Authors: Jing, Shibo | Yang, Junyu | Yang, Liming | Zhang, Min

Article Type: Research Article

Abstract:  Applying semi-supervised learning to extreme learning machine (ELM), we propose a semi-supervised extreme learning machine classification framework (SSELM) with arbitrary norm (q -norm, q=0,1 and 2). However, the SSELM involves nonconvex and nonsmooth problem. In this work, two types of optimization methods are developed to solve the proposed SSELM. The first one is an exact solution approach that reformulates SSELM as mixed integer programming. The second is an approximation approach that approximates the SSELM framework by DC (difference of convex functions) programming. Several formulations for SSELM are presented with different norm. Furthermore, the proposed methods are applied in a practical …medical dataset using near-infrared spectral technology. Experimental results in different spectral regions show that incorporating unlabeled samples in training improves the generalization compared with the supervised ELM when insufficient training information is available. Moreover, the proposed methods achieve equivalent performance in benchmark data sets compared to the supervised ELM algorithms and other semi-supervised methods. These results show the feasibility and effectiveness of the proposed algorithms. Show more

Keywords: Extreme learning machine, semi-supervised classification, mixed integer programming, DC programming, arbitrary norm

DOI: 10.3233/JIFS-181501

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 835-845, 2019

Authors: Rohani, Arash | Joorabian, Mahmood | Abasi, Mahyar | Zand, Mohammad

Article Type: Research Article

Abstract: This paper deals with a control design based on amplitude adaptive notch filter (AANF) for a four-leg distributed static compensator (DSTATCOM) in a three-phase four-wire distribution grid to overcome current-related problems of power quality. Extracted reference currents of DSTATCOM are obtained using AANF because of its simple structure, exact measuring of frequency and amplitude, suitable estimation of the desired signal, and capability of tracking the changes of the input signal amplitude. To improve the dynamic performance of DSTATCOM, two fuzzy logic controllers are utilized to regulate DC link voltage and the voltage of point of common coupling (PCC). Furthermore, an …adaptive hysteresis band current controller is applied for generating the gate pulses of IGBT switches. The proposed control scheme is robust to power system oscillations, especially when the main voltage suffers from disturbances and unbalancing. Different surveys are performed to study the efficacy of the proposed method, and results are verified through the simulation results in MATLAB/Simulink environment. Show more

Keywords: DSTATCOM, power quality, amplitude adaptive notch filter, fuzzy logic controller, adaptive hysteresis band current controller

DOI: 10.3233/JIFS-181521

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 847-865, 2019

Authors: Oztaysi, Basar | Cevik Onar, Sezi | Seker, Sukran | Kahraman, Cengiz

Article Type: Research Article

Abstract: Water treatment technology (WTT) selection is an excessively important problem since dramatic increases in health problems originated from drinking waters occur day by day. WTTs have high initial investments and operating and maintenance costs with different lives and capacities. Besides, their selection depends on the output quality of the water, capacity, land structure, and environmental issues. Therefore, WTT selection problem is a multi-criteria problem, which requires linguistic evaluations rather than exact numerical evaluations. In this paper, we propose a multi-expert and multi-criteria hesitant Pythagorean fuzzy decision analysis to select best fit WTT for clarification process in water treatment. Aggregation …operators and pairwise comparisons for hesitant Pythagorean fuzzy sets (HPFSs) are applied in the analysis. Comparative analyses are additionally realized to show the validity of the proposed approach and the robustness of the givendecisions. Show more

Keywords: Water treatment, hesitant fuzzy sets, intuitionistic fuzzy sets, Pythagorean fuzzy sets, analytic hierarchy process (AHP)

DOI: 10.3233/JIFS-181538

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 867-884, 2019

Authors: Singh, Akanksha | Kumar, Amit | Appadoo, S.S.

Article Type: Research Article

Abstract: Abdel-Basset et al. (Neural Computing and Applications, 2018, https://doi.org/10.1007/s00521-018-3404-6) proposed methods for solving different types of neutrosophic linear programming problems (NLPPs) (NLPPs in which some/all the parameters are represented as trapezoidal neutrosophic numbers (TrNNs)). Abdel-Basset et al. also pointed out that as a trapezoidal fuzzy number is a special case of trapezoidal neutrosophic number. Therefore, the fuzzy linear programming problems which can be solved by the existing methods (Ganesan and Veermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33) …can also be solved by thier proposed method. In addition to that, to show the advantages of their proposed method over the existing methods (Ganesan and Veermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33), Abdel-Basset et al. solved the same fuzzy linear programming problems by their proposed method as well as the existing methods (Ganesan and Veermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33) and shown that the results, obtained on applying by their proposed method are better than the results, obtained on applying the existing methods (Ganesan and Veermani, Ann Oper Res, 2006, 143 : 305-315; Ebrahimnejad and Tavana, Appl Math Model, 2014, 38 : 4388-4395; Kumar et al., 2011, Appl Math Model, 35 : 817-823; Satti et al., Int J Decis Sci, 7 : 312-33). After a deep study of Abdel-Basset et al. ’s method, it is observed that Abdel-Basset et al. have considered several mathematical incorrect assumptions in their proposed method and hence, it is scientifically incorrect to use Abdel-Basset et al. ’s method in its present form. The aim of this paper is to make the researchers aware about the mathematical incorrect assumptions, considered by Abdel-Basset et al. in their proposed method, as well as to suggest the required modifications in Abdel-Basset et al. ’s method. Show more

Keywords: Trapezoidal neutrosophic number (TrNNs), linear programming, neutrosophic set, ranking function

DOI: 10.3233/JIFS-181541

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 885-895, 2019

Authors: Mishra, Akansha | Kumar, Amit | Khan, Meraj Ali

Article Type: Research Article

Abstract: Bharti and Singh (International Journal of Fuzzy Systems 20 (2018), 1511-1522) proposed a method for solving a special type of interval-valued intuitionistic fuzzy transportation problems (IVIF-TPs) (transportation problems (TPs) in which the quantity of the product to be supplied is represented as a real number, whereas, all the other parameters are represented as interval-valued triangular intuitionistic fuzzy numbers (IVTIFNs)). In this note, an interval-valued intuitionistic fuzzy transportation problem (IVIF-TP) is solved by Bharti and Singh’s method and shown that more than one IVTIFNs, representing the optimal interval-valued intuitionistic fuzzy (IVIF) transportation cost is obtained, which is mathematically …incorrect as the obtained distinct IVTIFNs has different physical meanings. Also, it is pointed out that to resolve this flaw of Bharti and Singh’s method may be considered as a challenging open research problem. Show more

Keywords: Interval-valued intuitionistic fuzzy numbers, IVTIFNs, transportation problem

DOI: 10.3233/JIFS-181547

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 897-900, 2019

Authors: Dong, Yuanxiang | Hou, Chenjing

Article Type: Research Article

Abstract: Soft set theory, proposed by Molodtsov, has been regarded as a generic mathematical tool for dealing with uncertainties. However, classical soft sets are not appropriate to deal with incomplete and inconsistent information. In this paper, we introduce the concept of paraconsistent soft sets combining paraconsistent logic and soft sets. The complement, “And”, restricted intersection, relaxed intersection, restricted cross and relaxed cross operations are defined on paraconsistent soft sets. In order to deal with incomplete and inconsistent information in decision making simultaneously, we also define paraconsistent soft decision system, choice value, decision value, the selected set and the eliminated set, and …bring up the decision algorithm. Finally, an investment decision problem with incomplete and inconsistent information is analyzed by paraconsistent soft sets. The result shows that paraconsistent soft sets with more adequate parameterization can solve decision making problems with incomplete and inconsistent information more effectively than classical soft sets. Show more

Keywords: Soft sets, paraconsistent logic, incomplete information, inconsistent information, decision making

DOI: 10.3233/JIFS-181553

Citation: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 1, pp. 901-912, 2019