Collaborative Decision-Making Analysis and Applications

Dear Colleagues,

Recently, with the development of network technology, collaborative decision making and evaluation has become the focus of sustainable development assessments of the environment, renewable energy, emergency response, medicine, manufacturing, and so on. Collaborative decision making and evaluation requires experts from different fields to participate in decision-making processes and obtain the most effective outcome within a short period of time.

As a key factor in the process of collaborative group decision making, the effective communication and collaborative cooperation among decision-making experts will greatly help to rapidly achieve collaborative group decision-making outcomes. Firstly, the traditional consensus level measurement model ignores that the group consensus level in the decision-making process is dynamic and needs to be constantly updated. Secondly, the existing research on the adjustment process of group consensus usually ignores the internal correlation of preference information and makes unnecessary adjustments to the number and range of original preference information elements. Finally, as the main body of decision making, the incomplete rational behaviour characteristics of experts cannot be ignored. These factors will greatly reduce the satisfaction of decision-making experts with the results of group decision making.

Therefore, it is important to study collaborative decision-making methods and their applications in the sustainable management of health emergencies and disaster risks. This would be a promising research line, which could lead to an exciting breakthrough for this field.

You are cordially invited to submit papers related to all aspects of collaborative decision making, both theoretical and applicational. This involves (but is not limited to) collaborative group decision making, fuzzy group decision making, large-scale group decision making, data envelopment analysis, data aggregation theory, collaborative decision support systems, collaborative stochastic decision making,  collaborative multi-objective decision making, graph theory-driven collaborative decision making, collaborative game theory, and collaborative evolutionary algorithms and their applications for the environment, renewable energy, emergency responses, medicine, manufacturing, etc.

Dr. Feifei Jin
Prof. Dr. Jinpei Liu
Guest Editors

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