Fuzzy Multi-Criteria Decision-Making and Its Applications in Industry, Management and Operation Research
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: 31 March 2026 | Viewed by 3
Special Issue Editor
Interests: data analysis and data mining; big data technology and application; supply chain management; robust optimization; decision and game
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Fuzzy Multi-criteria Decision-making (FMCDM) is a vital and rapidly evolving field that extends classical MCDM methods to handle uncertainty and imprecision in decision problems. It encompasses fuzzy variants of established techniques (e.g., fuzzy AHP, fuzzy TOPSIS, fuzzy DEMATEL) that allow decision-makers to use linguistic and subjective evaluations. These fuzzy approaches yield more realistic, sensitive, and robust outcomes by quantifying qualitative judgments. They have proven valuable in diverse application domains (e.g., manufacturing, supply chain, energy, healthcare) where decisions involve multiple conflicting criteria. This Special Issue calls for theoretical advances, hybrid FMCDM models, and real-world applications in industry, management, and operations research. Contributions are welcomed on both theoretical and practical fronts, including but not limited to fuzzy AHP, fuzzy TOPSIS, fuzzy DEMATEL, fuzzy VIKOR, hybrid models, and intelligent decision support systems. Emphasis is placed on applications in areas such as supply chain management, project evaluation, resource allocation, manufacturing systems, energy planning, and risk assessment. We encourage original researches that propose methodological innovations, computational frameworks, and empirical studies demonstrating the practical value of FMCDM in solving MCDM problems. Such research is important for scholars and practitioners alike, as advanced FMCDM tools enable decision-makers to capture nuanced preferences and reduce ambiguity, yielding more accurate decision outcomes.
I look forward to receiving your contributions.
Prof. Dr. Ying Ji
Guest Editor
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Keywords
- fuzzy multi-criteria decision-making
- hybrid MCDM frameworks
- interval intuitionistic fuzzy sets
- Industry 4.0
- weight determination models
- supply chain management
- sustainable operations management
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