EDUCING INCONSISTENCY IN FUZZY AHP BY MATHEMATICAL PROGRAMMING MODELS

Mehdi Ghazanfari () and Majid Nojavan ()
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Mehdi Ghazanfari: Iran University of Science & Technology, Tehran, Iran
Majid Nojavan: Faculty of Engineering, Islamic Azad University, South Branch, Tehran, Iran

Asia-Pacific Journal of Operational Research (APJOR), 2004, vol. 21, issue 03, 379-391

Abstract: The inconsistency of judgments in the fuzzy Analytic Hierarchy Process (AHP) is a crucial issue. To make the appropriate decision, the inconsistency in decision maker's (DM) judgments needs to be eliminated or reduced. This paper proposes two mathematical models to deal with inconsistency in fuzzy AHP. In the first model, the DM's judgments are modified where the preference order of the DM's judgments remained unchanged. The second model allows reversing the preference orders of judgments. The proposed models aim to eliminate or reduce the inconsistency of fuzzy AHP by changing judgments. The models cause fewer changes for the high certain judgments. Two examples solved by the proposed models are included for purposes of illustration.

Keywords: Analytic Hierarchy Process (AHP); fuzzy set; inconsistency (search for similar items in EconPapers)
Date: 2004
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:wsi:apjorx:v:21:y:2004:i:03:n:s0217595904000291

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DOI: 10.1142/S0217595904000291

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