9th Joint International Conference on Information Sciences (JCIS-06)

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

Authors
Shyi-Ming Chen 0, Jim-Ho Chen
Corresponding Author
Shyi-Ming Chen
0National Taiwan University of Science and Technology
Available Online undefined NaN.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Publication Date
undefined NaN
ISBN
978-90-78677-01-7
DOI
https://doi.org/10.2991/jcis.2006.80How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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