Yaakob, Abdul Malek and Gegov, Alexander and Ku Khalif, Ku Muhammad Naim and Abdul Rahman, Siti Fatimah (2015) Interval type 2- fuzzy rule based system approach for selection of alternatives using TOPSIS. In: 7th Joint Conference on Computational Intelligence (IJCCI 2015), 12-14 Nov 2015, Lisbon, Portugal.

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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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 978-989-758-157-1
Uncontrolled Keywords:	Fuzzy Decision Making, Ranking Alternative, TOPSIS, Type 2 Fuzzy Set, Fuzzy Rule based System, Influence Degree, Stock Selection, and Assessing Ranking Performance
Subjects:	Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	School of Quantitative Sciences
Depositing User:	Mr. Abdul Malek Yaakob
Date Deposited:	18 Sep 2017 00:55
Last Modified:	18 Sep 2017 00:55
URI:	https://repo.uum.edu.my/id/eprint/22928

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