Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next-Reference-Cited by-同舟云学术

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Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next

Published:2019-10-19 Issue:1 Volume:12 Page:25-48
ISSN:1866-9956
Container-title:Cognitive Computation
language:en
Short-container-title:Cogn Comput

Author:

Liao Huchang,Tang Ming,Qin Rui,Mi Xiaomei,Altalhi Abdulrahman,Alshomrani Saleh,Herrera Francisco

Funder

National Natural Science Foundation of China-Yunnan Joint Fund

2018 Key Project of the Key Research Institute of Humanities and Social Sciences in Sichuan Province

Spark Project of Innovation at Sichuan University

Publisher

Springer Science and Business Media LLC

Subject

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

Link

http://link.springer.com/content/pdf/10.1007/s12559-019-09681-9.pdf

Reference89 articles.

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2. Juvina I, Larue O, Hough A. Modeling valuation and core affect in a cognitive architecture: the impact of valence and arousal on memory and decision-making. Cogn Syst Res. 2018;48:4–24.

3. Gudivada VN, Pankanti S, Seetharaman G, Zhang Y. Cognitive computing systems: their potential and the future. Computer. 2019;52(5):13–8.

4. Saaty TL, Vargas LG. Uncertainty and rank order in the analytic hierarchy process. Eur J Oper Res. 1987;32(1):107–17.

5. Orlorski SA. Decision-making with a fuzzy preference relation. Fuzzy Sets Syst. 1978;1(3):155–67.

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