Fuzzy Sets, Simulation and Their Applications
A special issue of Axioms (ISSN 2075-1680). This special issue belongs to the section "Algebra and Number Theory".
Deadline for manuscript submissions: closed (31 October 2024) | Viewed by 1882
Special Issue Editors
Interests: random number; decision making; data envelopment analysis; fuzzy ranking
Interests: quality management; statistical process control
Interests: intelligent systems; quantum computing; quantum intelligent systems; evolutionary computation; fuzzy systems; neural networks; deep learning; computational intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Various uncontrollable factors, such as a global pandemic, geopolitical instability, climate change, and others, have impacted contemporary business operations. With this complexity of the socioeconomic environment, fuzzy sets and simulation represent two fundamental methods to design and study complex systems in engineering, medicine, meteorology, manufacturing, economy, and management. Fuzzy sets could have the capability to represent and tackle vagueness and imprecise information. Modeling and simulation can avoid risks and reduce costs and failures associated with experimentation in the real system. Thus, fuzzy sets and simulations are welcomed more and more by both scholars and practitioners. This Special Issue aims to compile new and recent developments in methodologies, techniques, and applications of fuzzy sets and simulation for various practical problems and demonstrate the challenging issues of these concepts. We invite researchers and practitioners to submit original research and critical survey manuscripts in the fuzzy set and simulation techniques, methodologies, mixed approaches, and research directions pointing to unsolved issues.
Dr. Hui-Chin Tang
Dr. Shih-Chou Kao
Prof. Dr. Oscar Humberto Ross
Guest Editors
Manuscript Submission Information
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Keywords
- fuzzy set theory
- extensions and generalizations of fuzzy sets
- fuzzy multicriteria decision-making model
- modeling and simulation
- simulation and optimization
- cryptography
- random numbers
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