Educing inconsistency in fuzzy analytic hierarchy process by mathematical programming models

Educing inconsistency in fuzzy analytic hierarchy process by mathematical programming models

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Article ID: iaor20071394
Country: Singapore
Volume: 21
Issue: 3
Start Page Number: 379
End Page Number: 391
Publication Date: Sep 2004
Journal: Asia-Pacific Journal of Operational Research
Authors: ,
Keywords: fuzzy sets
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's) 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.

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