Probability Theory, Advanced Mathematics and Decision-Making Applications

Dear Colleagues,

Recently, with the development of information network technology, intelligent decision-making and evaluation has become the focus of sustainable development assessment. Intelligent decision-making and evaluation needs experts from different fields to participate in the decision-making and obtain the most effective decision results within a short period of time.

As a key factor in the process of intelligent group decision-making, the probability theory, advanced mathematics and stochastic preference information will greatly promote the rapid realization of intelligent group decision-making results. Firstly, the traditional decision-making models ignore that the group consensus level in the intelligent decision-making process is dynamic and needs to be updated constantly. Secondly, the existing research on the process of group decision-making usually ignores the internal correlation of stochastic preference information. 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 intelligent group decision-making.

Therefore, it is important to utilize probability theory and advanced mathematics methods to study intelligent decision-making and its applications, which would be a quite promising research line representing a high-quality breakthrough in this topic.

You are cordially invited to submit papers related to all aspects of intelligent decision-making, both theoretical and applicational. This involves (but is not limited to) probability theory-based linguistic decision making, large-scale fuzzy group decision-making, advanced mathematics-based linguistic decision making, data envelopment analysis, data aggregation theory, stochastic  decision-making, graph theory-driven decision-making, mathematic game theory, and their applications in environment, renewable energy, emergency response, medicine, manufacturing, etc.

Dr. Feifei Jin
Guest Editor

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