Fuzzy Systems and Decision Making Theory
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Logic".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5713
Special Issue Editors
Interests: decision making; information fusion; uncertainty modeling; soft computing; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: engineering management; decision support; computational semantics analysis; group decision making; computing with words
Special Issues, Collections and Topics in MDPI journals
Interests: fuzzy set theory; pattern clustering; learning (artificial intelligence); decision making; granular
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; fuzzy decision making; recommender systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fuzzy sets theory has gained significant attention from academia and practitioners and has been significantly pursued in the realm of various applications. This theory also delivers a conceptual and algorithmic framework to facilitate the characterization and modeling of human-centric systems. Fuzzy sets have been shown to be an effective, convenient and powerful tool in human and decision-centricity-featured computational Intelligence systems. As such, fuzzy sets contribute to numerous areas, in particular data mining and analytics, decision aid and support, decision analysis, preference modeling, image interpretation, pattern recognition, recommender systems, and explainable artificial intelligence (XAI), to name just a few.
Among numerous applications, the methodology of fuzzy modeling and systems is particularly useful and convenient in decision model building, decision method analyzing, and decision procedure implementation, wherein decision makers are allowed more or less involvement and intervention. Moreover, as one of the ways of representing uncertain data, fuzzy information and its several extensions are with wide applicability in multi-criteria decision-making and evaluation problems with a multitude of different backgrounds. Besides, some other new data types often enable the mutual study, complementation, comparison and analysis between them and fuzzy granule; for example, the recently introduced basic uncertain information (BUI) well complements the fuzzy information in practical applications. Fuzzy systems and fuzzy sets extensions have also been applied in a large number of group decision-making and rules-based decision-making environments, as well as in a variety of disciplines of science, engineering, economy and management.
This Special Issue will gather research works and reviews that advance the state-of-the-art concepts, methodologies, algorithms and applications in several emerging and related topics. Special attention to this Special Issue will be paid to the following research topics: fuzzy rules-based and data-driven fuzzy modeling, fuzzy information fusion, fuzzy logic, preference and uncertainty, etc. in multi-criteria decision-making, large-scale decision-making and group decision-making.
Dr. Lesheng Jin
Dr. Zhen-Song Chen
Prof. Dr. Witold Pedrycz
Prof. Dr. Luis Martínez López
Guest Editors
Manuscript Submission Information
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Keywords
- fuzzy information fusion
- fuzzy integrals and fuzzy operators
- fuzzy rules-based decision making
- group decision making
- large scale decision making (LSDM)
- linguistic aggregation fusion and decision making
- multi-criteria decision making
- preference involved decision making
- uncertain involved decision making
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