A New Method for Ranking Generalized Fuzzy Numbers for Handling Fuzzy Risk Analysis Problems

DOI

10.2991/jcis.2006.80How to use a DOI?

Keywords

Defuzzified Values, Fuzzy Risk Analysis, Generalized Fuzzy Numbers, Ranking Order, Standarized Generalized Fuzzy Numbers

Abstract

In this paper, we present a new method for ranking generalized fuzzy numbers for dealing with fuzzy risk analysis problems. The proposed method considers the defuzzified values, the heights and the spreads of generalized fuzzy numbers, simultaneously, for ranking generalized fuzzy numbers. It gets better ranking results to rank generalized fuzzy numbers than the existing methods. We also apply the proposed method to deal with fuzzy risk analysis problems. The proposed method provides a useful way for handling fuzzy risk analysis problems.

Copyright

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shyi-Ming Chen
AU  - Jim-Ho Chen
PY  - 2006/10
DA  - 2006/10
TI  - A New Method for Ranking Generalized Fuzzy Numbers for Handling Fuzzy Risk Analysis Problems
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.80
DO  - 10.2991/jcis.2006.80
ID  - Chen2006/10
ER  -