Large‐Scale Group Decision‐Making Model with Cooperative Behavior Based on Social Network Analysis considering Propagation of Decision‐Makers’ Preference

Abstract

This paper proposes a large-scale group decision-making model with cooperative behavior based on social network analysis considering propagation of decision-makers’ preference, which is applicable for large-scale group decision-making problems in social network contexts. The main contributions of our research are three aspects. Firstly, a novel calculation method of cooperative degree, hesitant degree, and noncooperative degree is developed, which considers both the network status and the preference for each DM, and thereby it can better represent the current state for each DM. Then, the determination method of each DM’s weight is presented, which considers both the individual network centrality and preference similarity degree. In addition, the score for the current cooperation situation is performed, and the improvement algorithm of the increase of cooperative degree and the decrease of noncooperative degree is designed to enhance the quality of the decision-making results. Finally, the proposed model has demonstrated the validity and superiority based on the comparative and sensitive analysis through a practical example.

A short-term price prediction-based trading strategy

“…Decision-making constitutes a primary concern for both leaders and investors [ 3 , 47 ]. Investors exhibit a dedicated commitment to the meticulous examination of the intricate interplay between conventional and emerging digital assets [ 48 ].…”

“…Each country's influence on investor enthusiasm has become increasingly important, as every national financial sector aims to encourage investor participation in financial activities [1][2][3][4], different strategies for different topics often lead to different results [5,6]. In recent years, portfolio optimization and quantitative investment have emerged as crucial research fields in the financial market.…”

A Large‐Scale Group Decision‐Making Consensus Model considering the Experts’ Adjustment Willingness Based on the Interactive Weights’ Determination

“…LSGDM is the process of selecting the best option from the opinion of many DMs, who express their opinion based on the decision-making information provided for alternatives [11]. Accordingly, let X � {x1, .…”

“…GDM has developed into large-scale group decision-making (LSGDM) [2][3][4][5][6], multiattribute LSGDM [7][8][9][10] and so on. Compared with GDM, the number of experts and DMs involved in LSGDM is larger, usually more than 20 [4,9,11,12]. .e differences in DMs' backgrounds and knowledge are greater, and thereby the consensus level among DMs is lower.…”

“…Liu et al [20] transformed interval-valued intuitionistic fuzzy numbers into single-valued numbers and then proposed a two-stage regularized generalized canonical correlation analysis decision-making method based on multiblock analysis to address the MALSGDM problem in the interval-valued intuitionistic fuzzy environment. Bai et al [11] developed an LSGDM model with cooperative behavior based on social network analysis, considering the propagation of decision-makers' preferences by considering the propagation of DMs' preferences. Zhen et al [21] proposed a computational model based on the use of extended linguistic hierarchies and used multigranularity linguistic distribution to provide interpretable aggregate linguistic results to experts in order to maximize information retention.…”