Dynamic incomplete uninorm trust propagation and aggregation methods in social network

Issue title: Applied Mathematics Related to Nonlinear Problems

Guest editors: Juan L.G. Guirao and Wei Gao

Article type: Research Article

Authors: Wang, Hua^a | Huang, Lu^{a; *} | Ren, Peiyu^a | Zhao, Rong^a | Luo, Yuyan^b

Affiliations: [a] Business School, Sichuan University, Chengdu, China | [b] College of Management Science, Chengdu University of Technology, Chengdu, Sichuan, P.R. China

Correspondence: [*] Corresponding author. Lu Huang, Business School, Sichuan University, No. 24 Southern Yihuan Code, Chengdu 610064, China. E-mail: [email protected].

Abstract: In the social network, trust information features dynamic and incomplete. The experts’ weight information is unknown beforehand, or there is not enough reliable sources. The dynamic process of trust propagation is analyzed, a new TS-UTOWA operator for multipath propagation is introduced, and an innovative D-UTOWA operator is proposed for trust aggregation in this paper. As for the efficiency of uninorm trust propagation, the average value of the other’s values is adopted to estimate the incomplete sociomatrix vector. Finally, a case about tourist route arrangment is discussed to demonstrate the efficiency and feasibility of the theory in this article.

Keywords: Dynamic, incomplete, SN-GDM, trust propagation, trust aggregation

DOI: 10.3233/JIFS-169354

Journal: Journal of Intelligent & Fuzzy Systems, vol. 33, no. 5, pp. 3027-3039, 2017