Fuzzy decision making for IJV performance based on statistical confidence-interval estimates

Authors:
Huey-Ming Lee;Teng-San Shih;Jin-Shieh Su;Lily Lin
Affiliations:
Department of Information Management, Chinese Culture University, Taipei, Taiwan;Department of Applied Mathematics, Chinese Culture University, Taipei, Taiwan;Department of Applied Mathematics, Chinese Culture University, Taipei, Taiwan;Department of International Business, China University of Technology, Taipei, Taiwan
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part II
Year:
2010

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Abstract

This paper considers the International Joint Ventures (IJVs) problem using interval-valued fuzzy sets and the compositional rule of inference in the statistical sense. We consider the performance effects of evaluation criteria facts and weights based on fuzzy set theory to determine the performance ranking among IJVs. Due to the lack of precise information based on some fuzzy language is used in the evaluation criterion. We use the statistical confidence-interval estimates and apply the signed distance method to defuzzify.