2021•Unpublished venueRequires access

A ranking method for solving type-2 fuzzy unbalanced transportation problem using the triangular fuzzy number

Babita Chaini, Narmada Ranarahu

Abstract

Due to the inconsistent economic and environment conditions, it becomes difficult to measure the demand and production costs of a transportation problem. In this paper, we proposed a fuzzy transportation problem involving transportation cost, availability, and demand of the product, which are represented by type-2 triangular fuzzy numbers. Additionally, a (Perfectly Interval Type-2 Fuzzy Number) PIT2TFN, generalized ranking method, VAM method are incorporated. Using the mentioned concept, we present an algorithm to solve an unbalanced transportation problem. Finally, an illustrated numerical example using this algorithm is presented.

About this research paper

What this paper is about

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Key concepts: Fuzzy transportation, Transportation theory, Fuzzy number, Mathematical optimization, Fuzzy set operations, Fuzzy logic, Mathematics, Type (biology)