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Growing Science » Decision Science Letters » A note on “A new approach for ranking fuzzy numbers based on possibility theory”

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Decision Science Letters

ISSN 1929-5812 (Online) - ISSN 1929-5804 (Print)
Quarterly Publication
Volume 8 Issue 1 pp. 81-84 , 2019

A note on “A new approach for ranking fuzzy numbers based on possibility theory” Pages 81-84 Right click to download the paper Download PDF

Authors: Alireza Sotoudeh-Anvari, Seyed Jafar Sadjadi, Seyed Mohammad Hadji Molana, Soheil Sadi-Nezhad

DOI: 10.5267/j.dsl.2018.5.001

Keywords: Ranking, Fuzzy numbers, Counterexamples

Abstract: Very recently, Qiupeng and Zuxing (2017) [Qiupeng, G., & Zuxing, X. (2017). A new approach for ranking fuzzy numbers based on possibility theory. Journal of Computational and Applied Mathematics, 309, 674-682.] suggested a new fuzzy ranking technique on the basis of possibility theory. In this note, we show that this method leads to the incorrect result in various cases.

How to cite this paper
Sotoudeh-Anvari, A., Sadjadi, S., Molana, S & Sadi-Nezhad, S. (2019). A note on “A new approach for ranking fuzzy numbers based on possibility theory”.Decision Science Letters , 8(1), 81-84.

Refrences
Kumar, A., Singh, P., Kaur, A., & Kaur, P. (2011). A new approach for ranking nonnormal p-norm trapezoidal fuzzy numbers. Computers & Mathematics with Applications, 61(4), 881-887.
Qiupeng, G., & Zuxing, X. (2017). A new approach for ranking fuzzy numbers based on possibility theory. Journal of Computational and Applied Mathematics, 309, 674-682.
Sotoudeh-Anvari, A., Sadjadi, S. J., & Sadi-Nezhad, S. (2017). Theoretical Drawbacks in Fuzzy Ranking Methods and Some Suggestions for a Meaningful Comparison: An Application to Fuzzy Risk Analysis. Cybernetics and Systems, 48(8), 551-575.
Wang, X., & Kerre, E. E. (2001). Reasonable properties for the ordering of fuzzy quantities . Fuzzy sets and systems, 118(3), 375-385.
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Journal: Decision Science Letters | Year: 2019 | Volume: 8 | Issue: 1 | Views: 2223 | Reviews: 0

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