Results 31 to 40 of about 11,356,201 (165)
Symmetry, 2019 In this paper, different measures of interval-valued pentagonal fuzzy numbers (IVPFN) associated with assorted membership functions (MF) were explored, considering significant exposure of multifarious interval-valued fuzzy numbers in neoteric studies ...
Avishek Chakraborty +6 more
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Fuzzy Number-Valued Fuzzy Graph [PDF]
Control and Optimization in Applied Mathematics, 2016 Graph theory has an important role in the area of applications of networks and clustering. In the case of dealing with uncertain data, we must utilize ambiguous data such as fuzzy value, fuzzy interval value or values of fuzzy number.
Siyamak Firouzian +1 more
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Z-MABAC Method for the Selection of Third-Party Logistics Suppliers in Fuzzy Environment
IEEE Access, 2020 As third-party logistics providers occupy an increasingly important position in the operation strategies of various enterprises, choosing a partner that suits them and can bring benefits to them has become an important decision-making issue for each ...
Jianping Fan, Runan Guan, Meiqin Wu
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Journal of Intelligent Systems, 2021 This article attempts to study cost minimizing multi-objective fractional solid transportation problem with fuzzy cost coefficients c˜ijkr{\tilde{c}}_{ijk}^{r}, fuzzy supply quantities a˜i{\tilde{a}}_{i}, fuzzy demands b˜j{\tilde{b}}_{j}, and/or fuzzy ...
Khalifa Hamiden Abd El-Wahed +2 more
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International journal of engineering and technology, 2018 Fuzzy numbers are used to represent uncertainty. Various types of fuzzy numbers are used in practical applications. In this paper we define Perfect Pentagonal Fuzzy Number (PPFN), Quadrilateral Fuzzy Number (QNF) and Left skewed Quadrilateral Fuzzy ...
T. Pathinathan, S Santhoshkumar
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Representing Fuzzy Numbers for Fuzzy Calculus [PDF]
, 2007 In this paper we illustrate the LU representation of fuzzy numbers and present an LU-fuzzy calculator, in order to explain the use of the LU-fuzzy model and to show the advantage of the parametrization. The model can be applied either in the level-cut or in generalized LR frames.
STEFANINI, LUCIANO, SORINI, LAERTE
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Shannon entropy-based approach for calculating values of WABL parameters
Journal of Taibah University for Science, 2020 In the application phase of the fuzzy theory, it is an obvious advantage to have a valuable defuzzification. The defuzzification method that we deal with in this work is a flexible, adaptable and multi-purpose method.
Ali Mert
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Solving Fully Fuzzy Linear Programming Problems with Zero-One Variables by Ranking Function [PDF]
Control and Optimization in Applied Mathematics, 2016 Jahanshahloo has suggested a method for the solving linear programming problems with zero-one variables. In this paper we formulate fully fuzzy linear programming problems with zero-one variables and a method for solving these problems is presented using
Aminalah Alba
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Nonlinear Triangular Intuitionistic Fuzzy Number and Its Application in Linear Integral Equation
Advances in Fuzzy Systems, 2019 In this paper we introduce the different arithmetic operations on nonlinear intuitionistic fuzzy number (NIFN). All the arithmetic operations are done by max-min principle method which is nothing but the application of interval analysis.
S. Mondal, A. Goswami, S. De
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Fuzzy Domination Graphs in Decision Support Tasks
Mathematics, 2023 In decision support tasks, one often has to deal with uncertainty due to fuzzy judgments of the decision maker or the expert. This paper proposes methods that allow you to rank the alternatives based on fuzzy evaluations.
Vladimir Sudakov, Alexander Zhukov
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