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

Abdul Yaakob, Ku Muhammad Naim Ku Khalif, Alexander Emilov Gegov, Siti Fatimah Abdul Rahman

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

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.
Original languageEnglish
Title of host publicationProceedings of the 7th international joint conference on computational intelligence
Publisher SCITEPRESS – Science and Technology Publications
Pages112-120
Number of pages8
Volume1
ISBN (Electronic)978-989-758-157-1
Publication statusPublished - 12 Nov 2015
Event7th International Joint Conference on Computational Intelligence - Lisbon, Portugal
Duration: 12 Nov 201514 Nov 2015

Conference

Conference7th International Joint Conference on Computational Intelligence
CountryPortugal
CityLisbon
Period12/11/1514/11/15

Keywords

  • Fuzzy Decision Making
  • Assessing Ranking alternative
  • TOPSIS
  • Type 2 Fuzzy Set
  • Fuzzy Rule based System,
  • Influence Degree
  • Stock Selection

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