FUZZY MCDM BASED ON CONFIDENCE ANALYSIS

In this paper, a fuzzy multicriteria decision model is proposed based on confidence analysis by linguistic approach. Two main characteristics of this method are: (1) Triangular fuzzy numbers are used to express the uncertainties with confidence levels. The ratings of alternatives and the weights of criteria are assessed in triangular fuzzy numbers. By ?-cut concept, the triangular fuzzy numbers are incorporated with confidence levels in assessments. (2) Linguistic terms are used to express decision maker’s confidence attitudes, upon which con-fidence vectors are obtained to evalua-te alternatives’ performances. Finally, a numerical example is given to illustrate this method.

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Year of publication:	2003
Authors:	Wang, Wei ; Poh, Kim-Leng
Published in:	Fuzzy Economic Review. - International Association for Fuzzy-Set Management and Economy - SIGEF, ISSN 1136-0593. - Vol. VIII.2003, 2, p. 25-37
Publisher:	International Association for Fuzzy-Set Management and Economy - SIGEF
Subject:	Multicriteria decision making (MCDM) \| triangular fuzzy numbers \| linguistic terms

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Type of publication:	Article
Classification:	C35 - Discrete Regression and Qualitative Choice Models
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10004992719