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Seyed Hadi Nasseri

Seyed Hadi Nasseri

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Faculty of Mathematical Sciences
Address:
Phone: 01135302472

Research

Title
Multi-choice Linear Programming in Fuzzy Random Hybrid Uncertainty Environment and Their Application in Multi-commodity Transportation Problem
Type
JournalPaper
Keywords
Multi-choice programming; fuzzy random variable; Er-expected value; multi-commodity transportation problem
Year
2020
Journal Fuzzy Information and Engineering
DOI
Researchers Salim Bavandi ، Seyed Hadi Nasseri

Abstract

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 are considered as fuzzy random variables. By using polynomials interpolation for each multichoice parameter, the model is transformed into a fuzzy random programming problem. Then, to convert this model to its deterministic form, we use the concept of the mean value of fuzzy random variables. Finally, to validate the proposed mathematical operations, we solve a multi-commodity transportation problem with fuzzy random multi-choice parameters.