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The purpose of the Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology is to foster advancements of knowledge and help disseminate results concerning recent applications and case studies in the areas of fuzzy logic, intelligent systems, and web-based applications among working professionals and professionals in education and research, covering a broad cross-section of technical disciplines.
The journal will publish original articles on current and potential applications, case studies, and education in intelligent systems, fuzzy systems, and web-based systems for engineering and other technical fields in science and technology. The journal focuses on the disciplines of computer science, electrical engineering, manufacturing engineering, industrial engineering, chemical engineering, mechanical engineering, civil engineering, engineering management, bioengineering, and biomedical engineering. The scope of the journal also includes developing technologies in mathematics, operations research, technology management, the hard and soft sciences, and technical, social and environmental issues.
Authors: Mahata, Animesh | Mondal, Sankar Prasad | Alam, Shariful | Chakraborty, Avishek | De, Sujit Kumar | Goswami, Adrijit
Article Type: Research Article
Abstract: In this paper we study the mathematical model for diabetes in fuzzy environment. For real situation we notice that some data cannot be precisely known. For that reason we have to take the parameters as imprecise parameter. In this paper we take fuzzy number as the imprecise parameter. The diabetes model is formed by the concept of system of linear differential equation whose initial condition are fuzzy number. The solution procedure for solving governing fuzzy differential equations i.e., the fuzzy model is taken as generalized Hukuhara derivative approach. To show the biological importance the stability analysis of the model is …done in fuzzy environment. The numerical results found and are illustrated through computer simulation which is followed by discussions and conclusions in an elegant way. Show more
DOI: 10.3233/JIFS-171571
Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2923-2932, 2019
Authors: Mohammadi, Mehdi | Soleymani, Soodabeh | Niknam, Taher | Amraee, Turaj
Article Type: Research Article
Abstract: In order to investigate the effect of Distribution Automation (DA) on network reliability enhancement, two different planning and operation strategies are presented in this paper i.e. switch placement and Distribution Feeder Reconfiguration (DFR). Furthermore, because of increased utilization of Plug-in Electric Vehicles (PEVs) and their capability of Vehicle to Grid (V2G) technology, these intelligent bilateral energy sources can affect on switch placement problem and system reliability. Therefore, through a new failure rate reduction approach due to PEVs as well as evaluating of the System Average Interruption Frequency Index (SAIFI) and System Average Interruption Duration Index (SAIDI), system reliability is investigated …in both strategies. In this regard, the objective functions to be investigated are total cost of switches and cost of PEV fleets in switch placement problem as well as SAIFI, SAIDI, active power loss and voltage deviation in DFR problem. In addition, in order to achieve more reliable results, both of strategies are presented in stochastic framework by 2m + 1 Point Estimate Method (PEM). The uncertainty of the active and reactive loads and load annual growth rate as well as active and reactive hourly loads are considered in switch placement and DFR problems, respectively. Simulation results verify the proposed strategies should be investigated in probabilistic framework and finally feasibility of the proposed method is studied by Modified Teaching Learning Algorithm (MTLA) through a 69 bus IEEE distribution test system. Show more
Keywords: Distribution automation, reliability enhancement, PEV fleets, new failure rate reduction approach, 2m + 1 PEM
DOI: 10.3233/JIFS-171289
Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2933-2945, 2019
Authors: Pourjavad, Ehsan | Mayorga, Rene V.
Article Type: Research Article
Abstract: In this paper, a fuzzy multi-objective mixed-integer linear programming (FMOMILP) model is proposed that integrates sustainability three pillars into the Closed – loop Supply Chain (CLSC) network design problem under uncertainty. A two-phase solution approach is proposed to solve this problem. Firstly, the presented model is converted into multi-objective mixed-integer linear programming (MOMILP) by the weighted average method. Then, three widely used interactive fuzzy programming approaches are implemented to solve the model. The significance of the proposed model as well as the fuzzy programming solution approaches are validated through a computational experiment. The obtained results demonstrate the effectiveness of proposed …model and solution approaches in designing sustainable CLSC network under uncertain environment. Show more
Keywords: Uncertainty, fuzzy programming, sustainability, closed loop supply chain, multi objective, network design
DOI: 10.3233/JIFS-171168
Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2947-2961, 2019
Authors: Yaylalı, Gözde | Polat, Nazan Çakmak | Tanay, Bekir
Article Type: Research Article
Abstract: A new soft group definition is given by Ghosh and Samanta by using the definition of soft element which is introduced by Wardowski. In this paper we study on binary operation on a soft set by using the soft element definition. Considering this binary operation which is the generalization of the soft group definition of Ghosh and Samanta we gave the notions such as soft groupoid, soft group, soft ring and some related results are obtained.
Keywords: Soft Set, Soft Element, Soft Group, Soft Ring
DOI: 10.3233/JIFS-171083
Citation: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2963-2972, 2019
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