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Neutrosophic Sets and Systems
Article . 2021
Data sources: DOAJ
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Solving Neutrosophic Linear Programming Problems Using Exterior Point Simplex Algorithm

Authors: M Elsayed Badr; Shokry Nada; Saeed Ali; Ashraf Elrokh;

Solving Neutrosophic Linear Programming Problems Using Exterior Point Simplex Algorithm

Abstract

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. Second contribution is introducing a general framework for solving the neutrosphic linear programming problems using the advantages of the method of Abdel-Basset et al. and the advantages of Singh et al.'s method. Third contribution is proposing a new neutrosophic exterior point simplex algorithm NEPSA and its fuzzy version FEPSA. NEPSA has two paths to get optimal solutions. One path consists of basic not feasible solutions but the other path is feasible. Finally, the numerical examples and results analysis show that NEPSA more than accurate FEPSA.

Keywords

fuzzy linear programming, ranking function, Electronic computers. Computer science, Fuzzy Linear Programming; Ranking Function; Trapezoidal Fuzzy Number; Trapezoidal Neutrosophic Number; Exterior Point Simplex Algorithm., trapezoidal neutrosophic number, QA1-939, exterior point simplex algorithm, QA75.5-76.95, trapezoidal fuzzy number, Mathematics

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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