Selection of Suppliers Based on Rough Set Theory and Fuzzy TOPSIS Algorithm

Abstract

Selection of suppliers is the precondition and foundation of supply chain operation. It is an important aspect to choose the best supplier for supply chain management. This paper is aimed to present a fuzzy decision-making approach to deal with the supplier selection problem in supply chain system. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially, some decision-making data is undefined, vague and fuzzy data. The proposed methodology consists of two parts: (1) The RST is a fairly new methodology developed for dealing with imprecise, uncertain, and vague information. We assure the weight in the selection of a supplier based on rough set theory (RST) model. (2) According to index systems we have established for selection of suppliers, we use fuzzy TOPSIS algorithm to select the best suppliers.