Analyzing the Ranking Method for Fuzzy Numbers in Fuzzy Decision Making Based on the Magnitude Concepts-Reference-Cited by-同舟云学术

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Analyzing the Ranking Method for Fuzzy Numbers in Fuzzy Decision Making Based on the Magnitude Concepts

Published:2016-07-25 Issue:5 Volume:19 Page:1279-1289
ISSN:1562-2479
Container-title:International Journal of Fuzzy Systems
language:en
Short-container-title:Int. J. Fuzzy Syst.

Author:

Yu Vincent F.,Van Luu Huu,Dat Luu Quoc,Chi Ha Thi Xuan,Chou Shuo-Yan,Duong Truong Thi Thuy

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s40815-016-0223-8/fulltext.html

Reference28 articles.

1. Jain, R.: Decision-making in the presence of fuzzy variables. IEEE Trans. Syst. Man Cybern. 6, 698–703 (1976)

2. Chai, K.C., Tay, K.M., Lim, C.P.: A new method to rank fuzzy numbers using Dempster–Shafer theory with fuzzy targets. Inf. Sci. 346–347, 302–317 (2016)

3. Das, S., Guha, D.: A centroid-based ranking method of trapezoidal intuitionistic fuzzy numbers and its application to MCDM problems. Fuzzy Inf. Eng. 8, 41–74 (2016)

4. Wang, Y.J.: Ranking triangle and trapezoidal fuzzy numbers based on the relative preference relation. Appl. Math. Model. 39, 586–599 (2015)

5. Yu, V.F., Dat, L.Q.: An improved ranking method for fuzzy numbers with integral values. Appl. Soft Comput. 14, 603–608 (2014)

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