Z probabilistic linguistic term sets and its application in multi-attribute group decision making-Reference-Cited by-同舟云学术

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Z probabilistic linguistic term sets and its application in multi-attribute group decision making

Published:2021-03-13 Issue:4 Volume:20 Page:529-566
ISSN:1568-4539
Container-title:Fuzzy Optimization and Decision Making
language:en
Short-container-title:Fuzzy Optim Decis Making

Author:

Chai Jiahui,Xian Sidong,Lu Sichong

Funder

Chongqing research and innovation project of graduate students

Graduate Teaching Reform Research Program of Chongqing Municipal Education Commission

Chongqing Social Science Planning Project

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Logic,Software

Link

https://link.springer.com/content/pdf/10.1007/s10700-021-09351-2.pdf

Reference26 articles.

1. Bai, C. Z., Zhang, R., Qian, L. X., & Wu, Y. N. (2017). Comparisons of probabilistic linguistic term sets for multi-criteria decision making. Knowledge-Based Systems,119((C)), 284–291.

2. Beg, I., & Rashid, T. (2013). Topsis for hesitant fuzzy linguistic term sets. International Journal of Intelligent Systems, 28(12), 1162–1171.

3. Gou, X. J., & Xu, Z. S. (2016). Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and probabilistic linguistic term sets. Information Sciences, 372, 407–427.

4. Herrera, F., Herrera-viedma, E., & Verdegay, J. L. (1996). A model of consensus in group decision making under linguistic assessments. Fuzzy Sets & Systems, 78(1), 73–87.

5. Herrera, F., Herrera-viedma, E., & Verdegay, J. L. (1997). A rational consensus model in group decision making using linguistic assessments. Fuzzy Sets & Systems, 88(1), 31–49.

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