A Multi-objective Transportation Data Problems and their Based on Fuzzy Random Variables
Journal Title: Neutrosophic Knowledge - Year 2020, Vol 1, Issue 1
Abstract
This paper is specialized with fuzzy random multi-objective unbalanced transportation data problems by using of fuzzy programming technique when the sources and destination parameters are fuzzy random variables in inequality type of constraints. In this paper, we focus on the solution procedure of the specified transportation data problems where the objective functions are minimization type and supplies and demands are replaced by the fuzzy random variables. We first convert the fuzzy random multi-objective unbalanced transportation problem into deterministic problem by using fuzzy random chance constraints approach. By introducing the concept of linear membership function of fuzzy programming, multi-objective deterministic transportation problem is converted into single objective deterministic problem and then we solve it and we obtain the optimal compromise solution. Lastly a numerical example is provided for illustration the methodology
Authors and Affiliations
A. A. Salama,, M . Elsayed Wahed, and Eman Yousif
Keywords
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- DOI 10.5281/zenodo.4269558
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