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
Link To Document :
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