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Fuzzy Ratings and Crisp Feedback in Fuzzy AHP for Supporting Human Decision Making


Toshiyuki Yamashita


Graduate School of Engineering, Tokyo Metropolitan University, 6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan


Received: January 26, 2005

Accepted: October 26, 2005


Keywords: AHP, fuzzy AHP, fuzzy ratings, decision making, defuzzification

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.2 pp. 219-224, 2006

Abstract



Analytic Hierarchy Process (AHP) is one of the most popular tools for supporting human decision making, and several fuzzy extensions of AHP have been proposed. The present study investigated psychological effects of both fuzzy ratings in fuzzy AHP and crisp feedback of the results from fuzzy AHP. The results suggest that fuzzy ratings could incorporate the fuzziness of a person’s feelings in his/her decision making. The results also suggest that crisp feedback, which exaggerates the superiority of only one alternative or the differences among the alternatives, could help a person to make his/her decision, especially when being deeply puzzled about his/her choice.
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