Title :
Multi-Criteria Decision-Making Method Based on Vague Number Similarity with Incomplete Certain Information
Author :
Wang Jian-qiang ; Qin Yu-zhi
Author_Institution :
Sch. of Bus., Central South Univ., Changsha
Abstract :
Trapezoidal vague numbers and similarity between two trapezoidal vague numbers are defined. And their properties are studied. A fuzzy multi-criteria decision making method with incomplete certain information on weights is proposed. This method extends TOPSIS to fuzzy multi-criteria decision-making. Based on the principle that the best alternative should have the largest similarity to the ideal and the least similarity to the anti-ideal, the weights of the alternatives can be obtained and the ranking can be determined. An example shows the proposed method is reasonable and effective.
Keywords :
decision making; fuzzy set theory; operations research; fuzzy multicriteria decision making method; similarity methods; trapezoidal vague numbers; Computational intelligence; Computer industry; Conferences; Decision making; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Set theory; Uncertainty; Variable structure systems; TOPSIS method; incomplete information; multi-criteria decision making; trapezoidal vague numbers; vague number similarity;
Conference_Titel :
Computational Intelligence and Industrial Application, 2008. PACIIA '08. Pacific-Asia Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3490-9
DOI :
10.1109/PACIIA.2008.300
