Multiobjective Optimization-Based Collective Opinion Generation With Fairness Concern-Reference-Cited by-同舟云学术

Multiobjective Optimization-Based Collective Opinion Generation With Fairness Concern

Published:2023-09 Issue:9 Volume:53 Page:5729-5741
ISSN:2168-2216
Container-title:IEEE Transactions on Systems, Man, and Cybernetics: Systems
language:
Short-container-title:IEEE Trans. Syst. Man Cybern, Syst.

Author:

Chen Zhen-Song¹^ORCID,Zhu Zhengze²,Wang Xian-Jia³,Chiclana Francisco⁴^ORCID,Herrera-Viedma Enrique⁵^ORCID,Skibniewski Miroslaw J.⁶^ORCID

Affiliation:

1. Department of Engineering Management, School of Civil Engineering, Wuhan University, Wuhan, China

2. Institute of Automotive Engineers, Hubei University of Automotive Technology, Shiyan, China

3. School of Economics and Management, Wuhan University, Wuhan, China

4. School of Computer Science and Informatics, Institute of Artificial Intelligence, De Montfort University, Leicester, U.K

5. Department of Computer Science and AI, Andalusian Research Institute of Data Science and Computational Intelligence, University of Granada, Granada, Spain

6. Department of Civil and Environmental Engineering, University of Maryland, College Park, MD, USA

Funder

National Natural Science Foundation of China

Andalusian Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering,Software

Link

http://xplorestaging.ieee.org/ielx7/6221021/10223304/10127856.pdf?arnumber=10127856

Reference65 articles.

1. The ?heuristics and biases? bias in expert elicitation

2. The conceptual framework of fairness in consensus reaching process under fuzziness

3. Prediction with expert advice for a finite number of experts: A practical introduction

4. A maximum fairness consensus model with limited cost in group decision making

5. Expert elicitation survey on future wind energy costs

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