Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads

@article{Chen2009FuzzyRA,
  title={Fuzzy risk analysis based on ranking generalized fuzzy numbers with different heights and different spreads},
  author={Shyi-Ming Chen and Jim-Ho Chen},
  journal={Expert Syst. Appl.},
  year={2009},
  volume={36},
  pages={6833-6842}
}
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… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 40 references

A new method for handing multicriteria fuzzy decision-making problems using FN-IOWA operators

  • S. J. Chen, S. M. Chen
  • Cybernetics and Systems,
  • 2003
Highly Influential
7 Excerpts

New methods for subjective mental workload assessment and fuzzy risk analysis

  • S. M. Chen
  • Cybernetics and Systems, 27(5), 449–472.
  • 1996
Highly Influential
5 Excerpts

Ranking fuzzy numbers with maximizing set and minimizing set

  • S. H. Chen
  • Fuzzy Sets and Systems, 17(2), 113–129.
  • 1985
Highly Influential
12 Excerpts

Fuzzy Sets, natural language computations, and risk analysis

  • K. J. Schmucker
  • Rockville, MD: Computer Science Press.
  • 1984
Highly Influential
8 Excerpts

A new method for ranking generalized fuzzy

  • J. H. Chen, S. M. Chen
  • 2006
Highly Influential
4 Excerpts

A new method for ranking generalized fuzzy numbers for handling fuzzy risk analysis problems

  • S. J. Chen, S. M. Chen
  • Proceedings of the 9 th conference on information…
  • 2006
2 Excerpts

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