Results 31 to 40 of about 5,894,063 (275)
Fully Fuzzy Linear Systems in Python Programming
International Journal of Engineering and Advanced Technology, 2020 This paper proposes the python coding for ST decomposition for Triangular, Trapezoidal, and computing the algorithms for the fully fuzzy linear system in python programming. where is a fuzzy matrix, are fuzzy vectors. ST decompose into a product of symmetric matrix (S) and triangular matrix (T) in the form of triangular and trapezoidal fuzzy number ...
V.Vijayalakshmi, S. Surabhi, A.Karpagam
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On a fully fuzzy framework for minimax mixed integer linear programming [PDF]
Computers & Industrial Engineering, 2019 In this work, we present a modeling framework for minimax mixed 0-1 fuzzy linear problems. It is based on extending the usual rewriting of crisp minimax problems via auxiliary variables to model the maximum of a finite set of fuzzy linear functions. We establish that the considered problem can be equivalently formulated as a multiple objective mixed ...
Manuel Arana-Jiménez, Víctor Blanco
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A new algorithm for fuzzy transportation problems with trapezoidal fuzzy numbers under fuzzy circumstances [PDF]
Journal of Fuzzy Extension and Applications, 2021 Transportation problem is an important network structured linear programming problem that arises in several contexts and has deservedly received a great deal of attention in the literature.
Ladji Kane +5 more
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On Solving Bi-level Multi-Objective Fully Quadratic Fractional Optimization Model with Fuzzy Demands [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2021 This paper has been designed to introduce the method for solving the Bi-level Multi-objective (BL-MO) Fully Quadratic Fractional Optimization Model through Fuzzy Goal Programming (FGP) approach by utilising non-linear programming.
Namrata Rani +2 more
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LR-Type Fully Single-Valued Neutrosophic Linear Programming Problems [PDF]
Neutrosophic Sets and Systems, 2021 A single-valued neutrosophic set, an generalization of intuitionistic fuzzy set, is a powerful model to deal with uncertainty. In this study we present a method to solve LR-type single-valued neutrosophic linear programming problems by using unrestricted
Jamil Ahmed
doaj +1 more source
A New Method for Solving Fully Fuzzy Multi Objective Supplier Selection Problem [PDF]
International Journal of Research in Industrial Engineering, 2017 Supplier selection is one of the most critical activities of purchasing management in a supply chain. Because selecting right suppliers helps reduce purchasing costs, improve quality of final products and services, etc.
H. Nasseri, M. Morteznia, M. Mirmohseni
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Designing a closed-loop supply chain multi-objective optimization model with the aim of supplier selection and order allocation (case study: Iran's retail stores for protein products) [PDF]
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī, 2023 In today's competitive business landscape, the efficient management of supply chains has become a cornerstone of success for economic enterprises. Supplier selection, as the initial link in the supply chain, holds significant sway over various critical ...
Mina Kazemi Miyangaskari +4 more
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, 2023 This paper presents an optimization method to solve a non-linear separable programming problem with coefficients and variables as generalized trapezoidal intuitionistic fuzzy numbers. Such optimization problems are known as fully intuitionistic fuzzy non-
Ali Ebrahimnejad +4 more
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Ethical Foreground and Background in Adult Educator Work
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT Adult educators work in a complex ethical environment. The very act of contributing to the learning of another is fraught with moral overtones. In this paper we consider the ethical dimensions of adult educator practice by distinguishing the ethical features of the context or ‘background’ of practice from the ethical capabilities and decision ...
Steven Hodge, Sonal Nakar
wiley +1 more source
Multiple fuzzy reasoning approach to fuzzy mathematical programming problems [PDF]
, 1991 We suggest solving fuzzy mathematical programming problems via the use of multiple fuzzy reasoning techniques. We show that our approach gives Buckley’s solution [1] to possibilistic mathematical programs when the inequality relations are understood ...
Fullér, Róbert
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