The DEA and Intuitionistic Fuzzy TOPSIS Approach to Departments′ Performances: A Pilot Study | Zendy

Babak Daneshvar Rouyendegh | Zendy

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The DEA and Intuitionistic Fuzzy TOPSIS Approach to Departments′ Performances: A Pilot Study

Author(s) -

Babak Daneshvar Rouyendegh

Publication year - 2011

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2011/712194

Subject(s) - topsis , computer science , fuzzy logic , mathematics , operations research , mathematical optimization , artificial intelligence

This paper processes a unification of Fuzzy TOPSIS and Data Envelopment Analysis (DEA) to select the units with most efficiency. This research is a two-stage model designed to fully rank the organizational alternatives, where each alternative has multiple inputs and outputs. First, the alternative evaluation problem is formulated by Data Envelopment Analysis (DEA) and separately formulates each pair of units. In the second stage, we use the opinion of experts to be applied into a model of group Decision-Making (DM) called the Intuitionistic Fuzzy TOPSIS (IFT) method. The results of both methods are then multiplied to obtain the results. DEA and Intuitionistic Fuzzy TOPSIS ranking do not replace the DEA classification model; rather, it furthers the analysis by providing full ranking in the DEA context for all units by aggregate individual opinions of decision makers for rating the importance of criteria and alternatives

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