Multi-Criteria Decision Making (MCDM) with Preference Modeling

Dear Colleagues,

Multi-criteria decision making (MCDM) is a key branch of decision-making theory, which involves multiple evaluation criteria for all objects. The primary aim of MCDM is to acquire a complete ranking and choose the optimal object based on finite objects and evaluation values from multiple criteria.

There are different classifications of MCDM problems and methods: multi-criteria evaluation problems and multi-objective mathematical programming problems. Whether it is an evaluation problem or a design problem, DM preference information is required in order to differentiate between solutions. The solution methods for MCDM problems are commonly classified based on the timing of preference information obtained through DM.

Over the last few decades, MCDM has been successfully applied to complex decision-making problems in a wide range of fields, such as economics, finance, logistics, environmental restoration, and health or industrial organizations. This Special Issue aims to show the current progress in decision-making theory and also some applications of this theory.

You are invited to submit papers that are unpublished original works for this Special Issue. The topics include, but are not limited to:

1. Interactive multi-objective optimization.
2. Multi-criteria decision aiding.
3. Preference modeling.
4. Rank reversals in decision making.
5. Superiority and inferiority ranking method.
6. Multi-criteria choice, ranking, and sorting.
7. Multi-objective continuous and combinatorial optimization.
8. Evolutionary many-objective optimization.
9. Multi-attribute utility theory.
10. Outranking methods.
11. Decision support model.
12. Preference learning and ranking.
13. Data envelopment analysis.
14. Multi-objective metaheuristics.
15. Fuzzy multi-criteria decision making.
16. Data-driven and model-based multi-objective optimization.
17. Dynamic multi-objective optimization.
18. Applications of MCDM in business management.

We look forward to receiving your contributions. 

Dr. Peng Wu
Dr. Jiaming Zhu
Dr. Zhifu Tao
Prof. Dr. Li-Gang Zhou
Guest Editors

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