Probability Theory, Advanced Mathematics and Decision-Making Applications
A special issue of Axioms (ISSN 2075-1680).
Deadline for manuscript submissions: closed (20 May 2023) | Viewed by 2620
Special Issue Editor
Interests: fuzzy group decision making; large scale group collaborative decision making; data envelopment analysis; aggregation theory; decision support systems; bounded rationality theory; applied mathematics
Special Issue Information
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
Manuscript Submission Information
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Keywords
- probability theory-based linguistic decision making
- probability distribution linguistic decision making
- large-scale fuzzy group decision-making
- advanced mathematics-based linguistic decision making
- data envelopment analysis
- stochastic decision-making
- graph theory-driven decision-making
- mathematic game theory
- data-driven intelligent decision making
- information aggregation operators in intelligent fuzzy decision-making
- consistency adjustment algorithms
- stochastic preference information
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