A New Entropy Weight for Sub-Criteria in Interval Type-2 Fuzzy TOPSIS and Its Application | Zendy

Lazim Abdullah | Zendy; Adawiyah Otheman | Zendy

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A New Entropy Weight for Sub-Criteria in Interval Type-2 Fuzzy TOPSIS and Its Application

Author(s) -

Lazim Abdullah,

Adawiyah Otheman

Publication year - 2013

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2013.02.03

Subject(s) - topsis , ideal solution , interval (graph theory) , entropy (arrow of time) , computer science , ranking (information retrieval) , vagueness , fuzzy logic , mathematical optimization , mathematics , algorithm , artificial intelligence , operations research , combinatorics , physics , thermodynamics , quantum mechanics

Fuzzy Technique for Order Preference by Similarly to Ideal Solution (TOPSIS) is one of the most commonly used approaches in solving numerous multiple criteria decision making problems. It has been widely used in ranking of multiple alternatives with respect to multiple criteria with the superiority of fuzzy set type-1 and subjective weights. Recently, fuzzy TOPSIS has been merged with interval type-2 fuzzy sets and subjective weights for criteria as to handle the wide arrays of vagueness and uncertainty. However, the role of objective weights in this new interval type-2 fuzzy TOPSIS has given considerably less attention. This paper aims to propose a new objective weight for sub-criteria in interval type-2 fuzzy TOPSIS. Instead of using weight for criteria, this paper considers entropy weights for sub-criteria in interval type-2 fuzzy TOPSIS method. An example of supplier selection is used to illustrate the proposed method.

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