Submission Deadline: 01 July 2025 View: 259 Submit to Special Issue
Prof. Dr. Dragan Pamucar
Email: dragan.pamucar@fon.bg.ac.rs
Affiliation: Faculty of Organizational Sciences, University of Belgrade, Belgrade
Research Interests: Logistics & Transportation, Multiple Criteria Decision Making, Decision Support Systems, MCDM
Dr. Samayan Narayanamoorthy
Email: snmphd@buc.edu.in
Affiliation: Department of Mathematics, Bharathiar University, Coimbatore
Research Interests: Fuzzy Logic, Decision Sciences, MCDM, Differential Equation, Industrial Engineering
Dr. Daekook Kang
Email: dkkang@inje.ac.kr
Affiliation: Department of Industrial and Management Engineering, Institute of Digital Anti-aging Health care, Inge University, 197 Inje-ro, Gimhae-si 50834, Gyeongsangnam-do
Research Interests: MCDM, Fuzzy set theory, Technology forecasting, Service engineering, Quality Management
Fuzzy optimization is an approach that combines conventional techniques for optimization with fuzzy set theory in order to provide effective fuzzy optimization methods for both theoretical and practical application of solving problems in manufacturing, management, and artificial intelligence. Fuzzy decision-making is the act of making decisions using fuzzy logic, which permits a more adaptable interpretation of the available data.
The objective of this special issue is to advance different research and improvements in fuzzy technology and soft-computing methodologies to improve the capacity to handle complex optimization and decision-making problems involving imprecision, uncertainty, and incomplete information that can determine fuzzy optimal decisions and solutions. We welcome research articles pertaining to the state-of-the-art computation algorithms, mathematical models, theoretical advancements, systems developments, and applications. In order to help foster fuzzy technologies should be better understood, developed, and applied in engineering, management, and societal problems. The invitation for high-quality research papers and review articles on topics including, but not limited to:
Algorithms and methods for fuzzy optimization
Hybrid fuzzy optimization and data-driven techniques
Fuzzy multi-criteria decision making (FMCDM)
Integrating fuzzy with other soft computing methods
Advanced artificial intelligence based machine learning models
Large-scale group decision making
Extension of fuzzy sets, operations, and measures on uncertain information
Applications on environmental and financial impact assessment
Engineering control, optimization, and development
Allocating and scheduling resource using fuzzy logic
Risk analysis and financial planning
Optimization of supply chain and logistics
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