Fusion and consistency of incomplete fuzzy preferences

Authors:
Tien-Chin Wang;Ying-Ling Lin
Affiliations:
Department of Information Management, I-Shou University, Kaohsiung County, Taiwan, R.O.C.;Department of Information Engineering, I-Shou University, Kaohsiung County, Taiwan, R.O.C.
Venue:
CEA'07 Proceedings of the 2007 annual Conference on International Conference on Computer Engineering and Applications
Year:
2007

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Abstract

The method proposed by Herrera et al. [11] devises a consistent preference relation that is restricted by the set of n - 1 values{p12,p23,...,pn-1n}. Therefore, for convenience and flexibility, the following uses the incomplete fuzzy preference relation with the least judgments (that is, n - 1 judgments) to develop a simple and practical method for constructing a consistent complete fuzzy preference relation in which experts can compare any row, column or diagonal.