Comparative study of type-1 and type-2 fuzzy system in decision support system

Abstract

This study compares between the Type-1 Fuzzy and Interval Type-2 Fuzzy in Decision Support System (DSS). The case studied in this paper deals with supplier selection for development of new product. DSS is developed to recommend a decision in providing assessment criteria for the supplier. Both of the systems used similar membership functions and rules. It is shown that Type-2 Fuzzy can manage the level of uncertainty in decision making. In general, both systems have a surface resemblance. The result indicates that Type-2 Fuzzy based on decision making with a level of uncertainty can provide alternative decisions although it took about 56 times longer than type-1.