Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators

Author:

Chen Shyi-Ming,Chen Jim-Ho

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference16 articles.

1. A new method for ranking generalized fuzzy numbers for handling fuzzy risk analysis problems;Chen,2006

2. Chen, J.H., Chen, S.M. (2007a). A new method to measure the similarity between interval-valued fuzzy numbers. Proceedings of the 2007 6th International Conference on Machine Learning and Cybernetics. Hong Kong, China (pp. 1403-1408).

3. Ranking fuzzy numbers with maximizing set and minimizing set;Chen;Fuzzy Sets and Systems,1985

4. Chen, S.J. (2006). A new method for handling the similarity measure problems of interval-valued fuzzy numbers. Proceedings of the 2nd International Conference on Natural Computation and the 3rd International Conference on Fuzzy Systems and Knowledge Discovery. Xi’an, China (pp. 325-334).

5. Fuzzy risk analysis based on the ranking of generalized fuzzy numbers;Chen;Applied Intelligence,2007

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