Consensus model of social network group decision-making based on trust relationship among experts and expert reliability

doi:10.23919/JSEE.2023.000021

Journal of Systems Engineering and Electronics ›› 2023, Vol. 34 ›› Issue (6): 1576-1588.doi: 10.23919/JSEE.2023.000021

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Consensus model of social network group decision-making based on trust relationship among experts and expert reliability

Ya WANG(), Mei CAI(), Xinglian JIAN()

¹ School of Management Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

Received:2021-06-28 Online:2023-12-18 Published:2023-12-29
Contact: Mei CAI E-mail:xwy@163.com;caimei@nuist.edu.cn;1535085631@qq.com
About author:
WANG Ya was born in 1998. She is an M.S. student in the School of Management Science and Engineering, Nanjing University of Information Science and Technology. Her research interest is fuzzy decision analysis. E-mail: xwy@163.com

CAI Mei was born in 1980. She received her B.A. degree from Southeast University, Nanjing, China, in 2002, M.A. degree from Southeast University, Nanjing, China, in 2005, and Ph.D. degree from Southeast University, Nanjing, China, in 2012. She is currently a professor of Nanjing University of Information Science and Technology. Her research interest is fuzzy decision analysis. E-mail: caimei@nuist.edu.cn

JIAN Xinglian was born in 1998. She is an M.S. student in the School of Management Science and Engineering, Nanjing University of Information Science and Technology. Her research interest is fuzzy decision analysis. E-mail: 1535085631@qq.com
Supported by:
This work was supported by the National Natural Science Foundation of China(71871121).

Abstract

Abstract:

Due to people’s increasing dependence on social networks, it is essential to develop a consensus model considering not only their own factors but also the interaction between people. Both external trust relationship among experts and the internal reliability of experts are important factors in decision-making. This paper focuses on improving the scientificity and effectiveness of decision-making and presents a consensus model combining trust relationship among experts and expert reliability in social network group decision-making (SN-GDM). A concept named matching degree is proposed to measure expert reliability. Meanwhile, linguistic information is applied to manage the imprecise and vague information. Matching degree is expressed by a 2-tuple linguistic model, and experts’ preferences are measured by a probabilistic linguistic term set (PLTS). Subsequently, a hybrid weight is explored to weigh experts ’ importance in a group. Then a consensus measure is introduced and a feedback mechanism is developed to produce some personalized recommendations with higher group consensus. Finally, a comparative example is provided to prove the scientificity and effectiveness of the proposed consensus model.

Key words: social network group decision-making (SN-GDM), trust relationship, expert reliability, consensus model, probabilistic linguistic term set (PLTS)

Ya WANG, Mei CAI, Xinglian JIAN. Consensus model of social network group decision-making based on trust relationship among experts and expert reliability[J]. Journal of Systems Engineering and Electronics, 2023, 34(6): 1576-1588.

Figures/Tables 4

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Consensus model of social network group decision-making based on trust relationship among experts and expert reliability

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