Multi-choice Linear Programming in Fuzzy Random Hybrid Uncertainty Environment and Their Application in Multi-commodity Transportation Problem

• Published in: Fuzzy information and engineering Vol. 12; no. 1; pp. 109 - 122
• Main Authors: Nasseri, S. H., Bavandi, S.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 02.01.2020; Taylor & Francis Group
• Subjects: Commodities; Er-expected value; fuzzy random variable; Interpolation; Linear programming; Mathematical models; Multi-choice programming; multi-commodity transportation problem; Parameters; Polynomials; Random variables; Transportation problem

In this paper, due to increasing competition in the business world, which makes decision makers dealing with multiple options/information for optimal decisions on a single task, we will look at multi-choice programming in hybrid fuzzy random environment. Alternative choices multi-choice parameters a...