A maximizing dominance degree model based on trust relationships and TODIM method to reach group consensus

Article type: Research Article

Authors: Liu, Yicong^a | Chu, Junfeng^{a; b; *} | Wang, Yanyan^c | Wang, Yingming^{a; b}

Affiliations: [a] College of Economics and Management, Fuzhou University, Fuzhou, China | [b] Decision Sciences Institute, Fuzhou University, Fuzhou, China | [c] College of Public Management, Fujian Agriculture and Forestry University, Fuzhou, China

Correspondence: [*] Corresponding author. Junfeng Chu, E-mail: [email protected].

Abstract: To obtain the suitable alternative(s) for the organization, this paper proposes a more practical method to solve the decision-making problems in society. That is combined with the TODIM (TOmada de decisão interativa multicrit e´ rio). The maximizing dominance degree model to reach consensus is proposed with two following components: (1) constructing the complete trust relationships network; (2) the maximizing dominance degree feedback mechanism to reach group consensus. Therefore, firstly owing to the complexity of the trust relationships network, judging the direct and indirect trust propagation paths among the decision makers (DMs) to construct the complete trust relationships network and identifying the highest value of Trust Score (TS) as the leader is possible. Then identify the inconsistent DM based on the established consensus index. During the feedback process, inconsistent DMs adopt the feedback mechanism based on the dominance degree of the leader until the group consensus is reached. Later, the corresponding ranking result is calculated by the TODIM method. Finally, a numerical example is applied to illustrate the effectiveness and feasibility of the optimal model.

Keywords: Trust relationship, leader, TODIM, dominance degree, deviation degree

DOI: 10.3233/JIFS-211979

Journal: Journal of Intelligent & Fuzzy Systems, vol. 42, no. 4, pp. 3775-3788, 2022