Results 1 to 10 of about 173,199 (249)
Solving Neutrosophic Linear Programming Problems Using Exterior Point Simplex Algorithm [PDF]
Neutrosophic Sets and Systems, 2021 In this manuscript, three contributions are proposed. First contribution is proposing a good evaluation between the fuzzy and neutrosophic approaches using a novel fuzzy-neutrosophic transfer.
M Elsayed Badr +3 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
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An Inventive Approach to Optimize Fuzzy Transportation Problem [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2020 The present paper wraps an innovative approach to optimize transportation problems through generalized trapezoidal numbers in a fuzzy environment. The main contribution here is to develop an innovative method to optimize the generalized fuzzy trapezoidal
Nirbhay Mathur, Pankaj Kumar Srivastava
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A Fuzzy C-means Algorithm for Clustering Fuzzy Data and Its Application in Clustering Incomplete Data [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 The fuzzy c-means clustering algorithm is a useful tool for clustering; but it is convenient only for crisp complete data. In this article, an enhancement of the algorithm is proposed which is suitable for clustering trapezoidal fuzzy data.
J. Tayyebi, E. Hosseinzadeh
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Intuitive multiple centroid defuzzification of intuitionistic Z-numbers [PDF]
Journal of Fuzzy Extension and Applications, 2022 In fuzzy decision-making, incomplete information always leads to uncertain and partially reliable judgements. The emergence of fuzzy set theory helps decision-makers in handling uncertainty and vagueness when making judgements.
Nik Muhammad Farhan Hakim Nik Badrul Alam +4 more
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A Modified Novel Method for Solving the Uncertainty Linear Programming Problems Based on Triangular Neutrosophic Number [PDF]
Transactions on Fuzzy Sets and Systems, 2022 Generally, linear programming (LP) problem is the most extensively utilized technique for solving and optimizing real-world problems due to its simplicity and efficiency.
Kshitish Mohanta +3 more
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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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Ranking intersecting distribution functions [PDF]
Journal of Applied Econometrics, 2021 SummarySecond‐degree dominance has become a widely accepted criterion for ordering distribution functions according to social welfare. However, it provides only a partial ordering, and it may fail to rank distributions that intersect. To rank intersecting distribution functions, we propose a general approach based on rank‐dependent theory.
Aaberge, Rolf +2 more
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Eventual linear ranking functions [PDF]
Proceedings of the 15th Symposium on Principles and Practice of Declarative Programming, 2013 Program termination is a hot research topic in program analysis. The last few years have witnessed the development of termination analyzers for programming languages such as C and Java with remarkable precision and performance. These systems are largely based on techniques and tools coming from the field of declarative constraint programming.
Bagnara, Roberto, Mesnard, Frédéric
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Solving fully fuzzy linear programming problems by controlling the variation range of variables
Қарағанды университетінің хабаршысы. Математика сериясы, 2021 This paper deals with a fully fuzzy linear programming problem (FFLP) in which the coefficients of decision variables, the right-hand coefficients and variables are characterized by fuzzy numbers.
S.M. Davoodi, N.A. Abdul Rahman
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