Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 36, Issue 3, Pages 6833-6842Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2008.08.015
Keywords
Defuzzified values; Fuzzy risk analysis; Generalized fuzzy numbers; Ranking order; Standardized generalized fuzzy numbers
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Funding
- National Science Council, Republic of China [NSC 94-2213-E-011-005]
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In this paper, we present a new method for fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads. First, we present a new method for ranking generalized fuzzy numbers. The proposed method considers the defuzzified values, the heights and the spreads for ranking generalized fuzzy numbers. Based on the proposed method for ranking generalized fuzzy numbers, we propose a fuzzy risk analysis algorithm to deal with fuzzy risk analysis problems. The proposed method provides a useful way for handling the fuzzy risk analysis problems. (c) 2008 Elsevier Ltd. All rights reserved.
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