Manuscript Topics

In real-life problems we often deal with imprecise, uncertain, unknown, missing or inexistent data. Difficulties of decision making in real-life problems have motivated the expansion of the area of decision theory. In addition to the design of new decision making procedures, the development of theories adapted to the particular characteristics of the data, and the definition of aggregation operators used in decision making are fundamental. We hope this special issue can provide a platform for authors to discuss new methods and techniques for decision theory and applications.

This special issue in Decision Theory copes with (but is not limited to) the subjects as follows:
• Fuzzy set, soft set, hesitant set, ... and their extensions/generalizations
• Multiple attribute decision making
• Group decision making
• Medical decision Making
• Reasoning under uncertainty
• Linguistic variables
• Aggregation operators
• Similarity and distance measure
• Optimization modeling
• Granular computing and techniques
• Deep learning and neural networks
• Fuzzy integral aggregations
• Fuzzy fractional integral operator
• Fuzzy interval valued functions
• Hermite Hadamard Fejér inequality
• Soft computing applications in medical sciences and bioinformatics
• Applications of fuzziness in Artificial Intelligence, Economics, Medicine, Engineering, etc.

Instruction for Authors
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Please submit your manuscript to online submission system
https://aimspress.jams.pub/