Comparative Study of Type-1 and Type-2 Fuzzy System in Decision Support System

Humaira Humaira (Department of Information Technology, Politeknik Negeri Padang, Padang, Indonesia)
Yance Sonatha (Department of Information Technology, Politeknik Negeri Padang, Padang, Indonesia)
Cipto Prabowo (Department of Information Technology, Politeknik Negeri Padang, Padang, Indonesia)
Hidra Amnur (Department of Information Technology, Politeknik Negeri Padang, Padang, Indonesia)
Rita Afyenni (Department of Information Technology, Politeknik Negeri Padang, Padang, Indonesia)

Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Vol 6, No 3: September 2018

This study compares the Type-1 Fuzzy and Interval Type-2 Fuzzy in Decision Support System (DSS). Particular case studied in this paper deals with supplier selection for development of new product. DSS is developed to recommend a decision to provide assessment criteria on the supplier. All the type of membership functions and rules between these systems are equally applied. It is shown that  in Type-2 Fuzzy can manage the level of uncertainty in decision making. In general, both systems have a surface resemblance. The result shows that type-2 Fuzzy based decision making with a level of uncertainty is able to provide alternative decisions.