Sequential Three-Way Group Decision Based on Multiple Networks

In risk management, there are many complex multiple attribute group decision making (MAGDM) problems with high decision risk and uncertainty. During the collective wisdom, the decision-making process of the complex MAGDM can encounter the following three problems: (1) Since different experts have different knowledge structures and interests, they master different individual attribute information of alternatives. (2) Experts may have different consensus degrees for alternatives under different attributes. (3) For some alternatives, the experts can not make an immediate decision in the actual decision-making process. The experts need much more information to decide on these alternatives in the subsequent decision step. To solve the above-mentioned problems, this chapter discusses sequential three-way multiple attribute group decision making (STWMAGDM) with individual attributes by introducing sequential three-way decision based on the results of Ref. [1]. Meantime, for improving the consensus reaching process, this chapter takes into account the social influence among experts with the aid of opinion dynamics. Finally, two diagnosis examples are used to explain the proposed method of Ref. [1].