A Nonlinear Approach for Neutrosophic Linear Programming

Document Type: Research Paper

Author

Ayandegan Institute of Higher Education, Tonekabon, Iran.

10.22105/jarie.2020.217904.1137

Abstract

Traditional linearl programming usually handles optimization problems involving deterministic objective functions and/or constrained functions. However, uncertainty also exists in real problems. Hence, many researchers have proposed uncertain optimization methods, such as approaches using fuzzy and stochastic logics, interval numbers, or uncertain variables. However, In practical situations, we often have to handle programming problems involving indeterminate information. The aim of this paper is to put forward two new algorithms, for solving the Single-Valued Neutrosophic linear Problem. A numerical experiments are reported to verify the effectiveness of the new algorithms.

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Volume 6, Issue 4
Autumn 2019
Pages 358-366
  • Receive Date: 30 May 2019
  • Revise Date: 25 August 2019
  • Accept Date: 23 October 2019