A New Fuzzy Risk Assessment Approach

Authors:
Huey-Ming Lee;Lily Lin
Affiliations:
Department of Information Management, Chinese Culture University, Taipei, Taiwan 11114;Department of International Business, China University of Technology, Taipei, Taiwan 116
Venue:
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
Year:
2008

Citing 7
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Abstract

In this paper, we present computational rule inferences to tackle the rate of aggregative risk in fuzzy circumstances. Because the proposed assessment method directly uses the fuzzy numbers rather than the linguistic values to evaluate, it can be executed faster than before. The proposed fuzzy assessment method is easier, closer to evaluator real thinking and more useful than the ones they have presented before.