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Improvement of the Consistent Fuzzy Preference Relation Method and Comparison with the AHP Method

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  • Chun-An Chen

    (Chung Hua University, Hsinchu, Taiwan)

Abstract

AHP is always a popular method adopted by researchers in dealing with the issues of multiple criteria decision making. However, with the increase in the criteria, the traditional AHP may cause a problem in terms of the consistency of the questionnaires. Later on, the method of Consistent Fuzzy Preference Relation was developed to resolve such issue. But currently the utilization rate of this method is low, -probably because most researchers still doubt the result of the CFPR method. The main purpose of this study is using experiment and statistics analysis to compare the two methods. The final report shows that the results obtained by the CFFR method and the traditional AHP method are similar. It indicates CFPR is a good method for dealing with the MCDM problem. Moreover, this study also proposes a suggestion to improve the CFPR, so as to resolve the issue of screening out the valid questionnaires. Finally, this study used the CFPR method to code the software for use of follow-up researchers.

Suggested Citation

  • Chun-An Chen, 2015. "Improvement of the Consistent Fuzzy Preference Relation Method and Comparison with the AHP Method," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 7(4), pages 51-64, October.
    • Handle: RePEc:igg:jdsst0:v:7:y:2015:i:4:p:51-64
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