Authors:
Abdul Malek Yaakob
1
;
Ku M. Naim Ku Khalif
2
;
Alexander Gegov
2
and
Siti Fatimah Abdul Rahman
3
Affiliations:
1
Universiti Utara Malaysia and University of Portsmouth, Malaysia
;
2
University of Portsmouth, United Kingdom
;
3
Universiti Teknologi MARA(Perlis), Malaysia
Keyword(s):
Fuzzy Decision Making, Ranking Alternative, TOPSIS, Type 2 Fuzzy Set, Fuzzy Rule based System, Influence Degree, Stock Selection, and Assessing Ranking Performance.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Fuzzy Systems
;
Fuzzy Systems Design, Modeling and Control
;
Soft Computing
;
Type-2 Fuzzy Logic
Abstract:
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 process involved in the type 2 TOPSIS with the expert empirical knowledge. On the other hand, a hybrid analysis of decision making process that requires the use of human sensitivity to reflect influence degree of decision maker can be expressed by a fuzzy rule base. To ensure practicality and effectiveness 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.