An inverse prospect theory-based algorithm in extended incomplete additive probabilistic linguistic preference relation environment and its application in financial products selection-Reference-Cited by-同舟云学术

An inverse prospect theory-based algorithm in extended incomplete additive probabilistic linguistic preference relation environment and its application in financial products selection

Published:2020-11-05 Issue:3 Volume:20 Page:397-428
ISSN:1568-4539
Container-title:Fuzzy Optimization and Decision Making
language:en
Short-container-title:Fuzzy Optim Decis Making

Author:

Liu Nana,Xu Zeshui,He Yue,Zeng Xiao-Jun

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Logic,Software

Link

https://link.springer.com/content/pdf/10.1007/s10700-020-09348-3.pdf

Reference25 articles.

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2. Cabrerizo, F. J., Pérez, I. J., & Herrera-Viedma, E. (2010). Managing the consensus in group decision making in an unbalanced fuzzy linguistic context with incomplete information. Knowledge-Based Systems, 23(2), 169–181.

3. Dong, Y. C., Nan, L., & Liang, H. M. (2015). Consensus building in multiperson decision making with heterogeneous preference representation structures: A perspective based on prospect theory. Applied Soft Computing, 35, 898–910.

4. Gou, X. J., Xu, Z. S., & Liao, H. C. (2017). Multiple criteria decision making based on Bonferroni means with hesitant fuzzy linguistic information. Soft Computing, 21(21), 6515–6529.

5. Gunaratne, J., & Nov, O. (2017). Using interactive “Nutrition labels” for financial products to assist decision making under uncertainty. Journal of the Association for Information Science and Technology, 68(8), 836–1849.

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