Multi-Criteria Decision Making

Dear Colleagues,

Multi-criteria decision-making (MCDM) needs to consider multiple functions/attributes/criteria/objectives and conflicts with the real world at the same time in management decision-making. MCDM provides a practical problem-solving structure, selects appropriate scientific methods, and assists decision-makers in correctly making judgements in various decision problems. Therefore, the problem types of multi-criteria decision-making generally come from common phenomena in the real world. Multi-criteria decision-making problems can be roughly divided into two categories: planning/design/optimization problems and evaluation/selection/improvement problems (multi-attribute decision-making MADM). The problem types include evaluation problems, planning/design problems, ranking selection problems, and improvement problems. Many industries have been using the MCDM method to solve actual problems, such as those from medicine, supply chain, industrial ecology, energy, manufacturing, engineering, and various industries. Extrapolative analysis and methodology include an analytic hierarchy process, data envelopment analysis, ELECTRE, PROMETHEE, techniques for order preference by similarity to ideal solution, etc. Furthermore, big data/ Machine Learning/Artificial Intelligence have also been successfully applied in MCDM models, and the MCDM method can effectively make decisions in Industry 4.0. We are looking for new research based on the novel MCDM method for solving actual problems.

Prof. Dr. Kuo-Ping Lin
Prof. Dr. Chien-Chih Wang
Dr. Chieh-Liang Wu
Dr. Liang Dong
Topic Editors