title: |
A New Method for Ranking Generalized Fuzzy Numbers for Handling Fuzzy Risk Analysis Problems |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.80 (how to use a DOI) | |
author(s): |
Shyi-Ming Chen, Jim-Ho Chen |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
Defuzzified Values, Fuzzy Risk Analysis, Generalized Fuzzy Numbers, Ranking Order, Standarized Generalized Fuzzy Numbers |
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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. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |