Results 21 to 30 of about 63,775 (207)
Optimal solution of pentagonal fuzzy transportation problem using a new ranking technique [PDF]
Yugoslav Journal of Operations Research, 2023 In this article, we propose a method based on a new ranking technique to find optimal solution for a pentagonal fuzzy transportation problem. Firstly, the proposed ranking method which is based on the centroid concept is applied.
Bisht Monika, Beg Ismat, Dangwal Rajesh
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On Determining Shortest Path Problem under Pentagonal Neutrosophic Fuzzy Number
Communications on Applied Nonlinear AnalysisNeutrosophic sets is the generalization of fuzzy set theory. In this discipline the crucial situation are widely explained in three components appear in it in distinct fields. The study of Neutrosophy deals with the interactions of different ideational spectra. And also the shortest path method is one of the important tool in network analysis.
D. Sasikala
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Pentagonal Neutrosophic Transportation Problems with Interval Cost [PDF]
Neutrosophic Sets and Systems, 2022 The present paper aims to deal with a new variant of uncertain classical transportation problem namely ‘Interval Pentagonal Neutrosophic Transportation Problem’ (IPNTP) in which the uncertainty of source & destination parameters are described by ...
Ummey Habiba, Abdul Quddoos
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Ibn Al-Haitham Journal for Pure and Applied Sciences, 2023 Fuzzy numbers are used in various fields such as fuzzy process methods, decision control theory, problems involving decision making, and systematic reasoning. Fuzzy systems, including fuzzy set theory. In this paper, pentagonal fuzzy variables (PFV)
Rasha Jalal Mitlif +2 more
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De-Neutrosophication Technique of Pentagonal Neutrosophic Number and Application in Minimal Spanning Tree [PDF]
Neutrosophic Sets and Systems, 2019 In this current era, neutrosophic set theory is a crucial topic to demonstrate the ambiguous information due to existence of three disjunctive components appears in it and it provides a wide range of applications in distinct fields for the researchers ...
Avishek Chakraborty +2 more
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Total Ordering on Generalized ‘n’ Gonal Linear Fuzzy Numbers
International Journal of Computational Intelligence Systems, 2023 Zadeh introduced fuzzy sets to study imprecision in real life after which many generalizations have been developed in literature. Fuzzy numbers is the major research area of study because of its needfulness for modeling qualitative and imprecise ...
Lakshmana Gomathi Nayagam Velu +1 more
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Fuzzy n−Controlled Metric Space
International Journal of Analysis and Applications, 2023 This manuscript consists of the idea of n−controlled metric space in fuzzy set theory to generalize a number of fuzzy metric spaces in the literature, for example, pentagonal, hexagonal, triple, and double controlled metric spaces and many other spaces ...
Salman Furqan +2 more
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Fully fuzzy transportation problems with pentagonal and hexagonal fuzzy numbers
Journal of Applied Research on Industrial Engineering, 2021 The aim of this paper is to introduce a formulation of fully fuzzy transportation problems involving pentagonal and hexagonal fuzzy numbers for the transportation costs and values of supplies and demands. We introduce new technique for improve methods for solving the fully fuzzy transportation problems with parameters given as the pentagonal and ...
Kane, Ladji +4 more
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ANALYSIS OF PRIORITY QUEUES WITH PENTAGON FUZZY NUMBER
International Journal of Engineering Technologies and Management Research, 2020 Fuzziness is a sort of recent incoherence. Fuzzy set theory is asserted to depict vagueness. This study explores the queuing model of priority classes adopting pentagon fuzzy number with the inclusions of fuzzy set operations. A mathematical programming method is designed to establish the membership function of the system performance, in which the ...
W. Ritha 1, S. Josephine Vinnarasi 2
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OPTIMIZATION OF A FUZZY INVENTORY MODEL WITH PENTAGONAL FUZZY NUMBERS
INTERNATIONAL JOURNAL OF MATHEMATICS AND COMPUTER RESEARCH, 2023 This paper explores an optimal replenishment strategy for a two-echelon inventory model which has been considered and analyzed in a fuzzy environment. In fuzzy environment, carrying cost, ordering cost and the replenishment processing cost are assumed to be pentagonal fuzzy numbers. The purpose of this model is to minimize the total inventory cost in
S. Hemalatha, K. Annadurai
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