DocumentCode
3454792
Title
Ranking Fuzzy Numbers with Quasi-Mean and Fuzzy Degree
Author
Wang, Guixiang ; Gao, Xinni ; Wen, Yunping
Author_Institution
Inst. of Operational Res. & Cybern., Hangzhou Dianzi Univ., Hangzhou, China
fYear
2009
fDate
7-9 Dec. 2009
Firstpage
1013
Lastpage
1018
Abstract
We know that ranking fuzzy numbers plays an important role in decision-making and some other fuzzy application areas. In this paper, a new definition on mean of fuzzy number---quasi-mean is given. Based on the quasi-means and fuzzy degree we propose a new method for ranking fuzzy numbers. This method has the characteristics of generality, less calculation, high efficiency and it is especially tailed to evaluate alternatives which are overlapped. From the numerical examples in the paper, we can see the new method is reasonable and accurate. Furthermore, it´s more in line with the practice in real world.
Keywords
decision making; fuzzy set theory; number theory; decision-making; fuzzy degree; quasi-mean; ranking fuzzy numbers; Cybernetics; Decision making; Educational institutions; Fuzzy control; Fuzzy sets; Level set;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control (ICICIC), 2009 Fourth International Conference on
Conference_Location
Kaohsiung
Print_ISBN
978-1-4244-5543-0
Type
conf
DOI
10.1109/ICICIC.2009.302
Filename
5412263
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