A signed distance method for solving multi-objective transportation problems in fuzzy environment

Abstract

This paper aims to study the multi-objective transportation problem with fuzzy parameters. These fuzzy parameters represented as (α, β) interval-valued fuzzy numbers instead of the normal fuzzy numbers. Using the signed distance ranking, the problem converted into the corresponding crisp multi-objective transportation problem. Then, the solution method introduced by [8] for solving the problem is applied. This method provides the ideal and the set of all fuzzy (α, β) efficient solutions. The advantage of this method is more flexible than the standard multi-objective transportation problem, where it allows the decision maker to choose the (α, β) levels of fuzzy numbers he is willing. A numerical example to illustrate the utility, effectiveness, and applicability of the method is given.

Keywords

• multi-objective transportation problem
• (α
• β) fuzzy numbers
• signed distance function
• multi-objective decision making problem
• optimal transportation
• optimal flowing method