Idempotent Computing Rules and Novel Comparative Laws for Hesitant Fuzzy Cognitive Information and Their Application to Multiattribute Decision Making-Reference-Cited by-同舟云学术

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Idempotent Computing Rules and Novel Comparative Laws for Hesitant Fuzzy Cognitive Information and Their Application to Multiattribute Decision Making

Published:2021-10-12 Issue:6 Volume:13 Page:1515-1529
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Tao Zhifu^ORCID,Zhou Ligang,Liu Jinpei,Chen Huayou

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s12559-021-09937-3.pdf

Reference51 articles.

1. Torra V. Hesitant fuzzy sets. Int J Intell Syst. 2010;25(6):529–39.

2. Yager RR, Zadeh LA (Eds.). An introduction to fuzzy logic applications in intelligent systems. Springer Science & Business Media. 2012;165.

3. Yager RR. Fuzzy decision making including unequal objectives. Fuzzy Sets Syst. 1978;1(2):87–95.

4. Yager RR, Alajlan N, Bazi Y. Aspects of generalized orthopair fuzzy sets. Int J Intell Syst. 2018;33(11):2154–74.

5. Farhadinia B, Herrera-Viedma E. Multiple criteria group decision making method based on extended hesitant fuzzy sets with unknown weight information. Appl Soft Comput. 2019;78:310–23.

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