Interval type 2-fuzzy rule based system approach for selection of alternatives using TOPSIS

• Published in: IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence
• Main Author: Yaakob A.M.; Ku Khalif K.M.N.; Gegov A.; Rahman S.F.A.
• Format: Conference paper
• Language: English
• Published: SciTePress 2015
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84960963955&doi=10.5220%2f0005586501120120&partnerID=40&md5=a4b3690156419238a171ef8146c9d7e8

The paper considers fuzzy rule based system for multi criteria group decision making problem. A novel version of TOPSIS method using interval type 2 fuzzy rule based system approach is proposed with the objective of improving the type 2 TOPSIS ability to deal with ambiguity through the combination of the mathematical proceb involved in the type 2 TOPSIS with the expert empirical knowledge. On the other hand, a hybrid analysis of decision making proceb that requires the use of human sensitivity to reflect influence degree of decision maker can be exprebed by a fuzzy rule base. To ensure practicality and effectiveneb of proposed method, stock selection problem is studied. The ranking based on proposed method is validated comparatively using Kendall's Tau rank correlation. Based on the result, the proposed method outperforms the established non-rule based version of type 2 TOPSIS in term of ranking performance. © Copyright 2015 by SCITEPRESS - Science and Technology Publications, Lda.