Ranking fuzzy numbers with integral value
Fuzzy Sets and Systems
Ranking fuzzy values with satisfaction function
Fuzzy Sets and Systems
An efficient approach to solving fuzzy MADM problems
Fuzzy Sets and Systems
A new approach for ranking fuzzy numbers by distance method
Fuzzy Sets and Systems
A simple approach to ranking a group of aggregated fuzzy utilities
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A method for ranking fuzzy numbers and its application to decision-making
IEEE Transactions on Fuzzy Systems
Investors' preference order of fuzzy numbers
Computers & Mathematics with Applications
Computers & Mathematics with Applications
Ranking L-R fuzzy number based on deviation degree
Information Sciences: an International Journal
Area ranking of fuzzy numbers based on positive and negative ideal points
Computers & Mathematics with Applications
Airline safety evaluation based on fuzzy TOPSIS
PAISI'07 Proceedings of the 2007 Pacific Asia conference on Intelligence and security informatics
The method for ranking fuzzy numbers based on the approximate degree and the fuzziness
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 3
Ranking fuzzy variables by expected value and variance
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
Ranking fuzzy numbers based on the areas on the left and the right sides of fuzzy number
Computers & Mathematics with Applications
Application of weighting functions to the ranking of fuzzy numbers
Computers & Mathematics with Applications
Advances in Fuzzy Systems
Computers and Industrial Engineering
A note on ranking generalized fuzzy numbers
Expert Systems with Applications: An International Journal
An integrated fuzzy decision approach for product design and evaluation
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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Ranking fuzzy numbers plays an very important role in linguistic decision making and some other fuzzy application systems. Many methods have been proposed to deal with ranking fuzzy numbers. Chu pointed out some shortcomings of the existing distance method and proposed to rank the fuzzy numbers with the area between the centroid point and original point. However, drawbacks are also found in the area method. For example, it cannot rank fuzzy numbers when some fuzzy numbers have the same centroid point. In this paper, we propose a modified area method to rank fuzzy numbers. The modified method can effectively rank various fuzzy numbers and their images. We also used some comparative examples to illustrate the advantage of the proposed method.