Advanced Fuzzy Logic in Artificial Intelligence
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "D2: Operations Research and Fuzzy Decision Making".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 58
Special Issue Editors
Interests: non-classical logics; fuzzy logic; substructural logic; relevance logic; algebraic logic
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; algebra; fuzzy logic; rough set theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fuzzy logic is a mathematical theory and method for handling imprecision, incompleteness, and uncertainty, thereby helping artificial intelligence systems better understand and process complex and fuzzy information. In recent years, artificial intelligence, namely, deep learning, has faced challenges such as poor interpretability and robustness. The realization of third-generation artificial intelligence driven by both data and knowledge represents the current direction of development, and in this context, fuzzy logic, fuzzy reasoning, and fuzzy rough sets, among other concepts, known for aiding the expression and processing of uncertainty in human knowledge, will play a greater role. For example, the Fuzzy Deep Belief Network (FDBN) proposed by Google in 2023 introduced a fuzzy rule base into the decision-making layer of autonomous driving. Moreover, with the comprehensive application of neural networks, fuzzy logic, and fuzzy reasoning, the decision-making of vehicles in complex road conditions closer resembles the elastic judgment of human drivers. Fuzzy logic is building a bridge to higher-order cognition for artificial intelligence. This Special Issue will focus on fuzzy logic and its latest applications in artificial intelligence, aiming to bring together peers in a wide range of disciplines and promote the rapid development of this field. The main themes of this Special Issue include (but are not limited to) the following: formal systems of fuzzy logic, fuzzy logic operators, information aggregation functions, fuzzy inference algorithms, fuzzy control and optimization, fuzzy rough sets and their applications, fuzzy clustering algorithms, fuzzy neural networks, fuzzy multi-attribute decision-making, three-way decision-making and conflict analysis, and uncertainty in artificial intelligence.
Prof. Dr. Eunsuk Yang
Prof. Dr. Xiaohong Zhang
Guest Editors
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Keywords
- fuzzy logic
- artificial intelligence with uncertainty
- fuzzy rough sets
- fuzzy reasoning
- intelligent control
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