Title :
Incomplete Fuzzy Preference Relations and their Fusion
Author :
Wang, Tien-Chin ; Lin, Ying-ling
Author_Institution :
Dept. of Inf. Manage., I-Shou Univ., Kaohsiung
Abstract :
Because of decision makers having limited attention spans and information processing capabilities, as well as some decision alternatives being incomparable, decision makers may develop incomplete preference relations in which some elements cannot be provided. The method proposed by Herrera et al. devises a consistent preference relation that is restricted by the set of n-1 values {p12, p 23, ..., 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. The proposed method is more convenient and flexible than that of Herrera et al
Keywords :
decision making; decision theory; fuzzy set theory; decision making; incomplete fuzzy preference relations; information processing capabilities; Aggregates; Cybernetics; Decision making; Electronic mail; Fuses; Fuzzy sets; Information management; Information processing; Machine learning; Uncertainty; Incomplete fuzzy preference relations; consistency; decision making; fusion;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.259044