Advances in Operations Research: Applications in MCDA, Fuzzy Systems, DEA and Optimization
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: 3 February 2026 | Viewed by 1217
Special Issue Editors
Interests: MCDA; fuzzy sets; SCM; mathematical modelling
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The modelling of real-world decision-making and optimization problems involves the application of Operations Research methods, which require the use of tools such as MCDA, fuzzy systems, DEA and optimization techniques. These methodologies have found application in economics, engineering, healthcare, logistics, energy systems and artificial intelligence. In addition, developing theoretical and computational studies is crucial for adequately solving the problems. To create better, more robust, scalable and interpretable solutions, mathematicians must employ mathematical structures, algorithmic innovations, and computational intelligence. The interaction between the exact, heuristic, and hybrid methods enhances decision-making in conditions of uncertainty, enhances the performance of systems, and enables the efficient utilization of resources. This Special Issue aims to compile original research articles based on the application of operations research methods in different fields. This Special Issue is primarily interested in the formation of mathematical models, computational techniques, and the use of analytical methods to enhance decision-making processes. It also aims to enrich our knowledge of operations research theory, algorithms, and practice, and present new approaches for solving decision and optimization problems.
Dr. Amir Karbassi Yazdi
Prof. Dr. Peter Fernandes Wanke
Guest Editors
Manuscript Submission Information
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Keywords
- operations research
- multi-criteria decision analysis (MCDA)
- fuzzy systems
- data envelopment analysis (DEA)
- optimization techniques
- mathematical modeling
- decision-making under uncertainty
- heuristic and metaheuristic algorithms
- linear and nonlinear programming
- machine learning in operations research
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