SURVEY OF MULTI-CRITERIA DECISION MAKING (MCDM) METHODS FOR EVALUATING BARRIERS IN DECISION-MAKING PROCESSES

Ton Nguyen Trong Hien; Choat Inthawongse; Noppadol Amm-Dee

Authors

Ton Nguyen Trong Hien Muban Chom Bueng Rajabhat University, Thailand
Choat Inthawongse Muban Chom Bueng Rajabhat University, Thailand
Noppadol Amm-Dee Muban Chom Bueng Rajabhat University, Thailand

Keywords:

barriers, decision making, multicriteria decision making (MCDM), text-mining

Abstract

This study analyzes the trends in applying multi-criteria decision-making methods to assess decision-making barriers through text
mining techniques, including keyword frequency analysis, Latent Dirichlet Allocation modeling, and t-distributed Stochastic Neighbor Embedding. The results indicate that multi-criteria decision making is most commonly applied in fields, such as engineering, supply chain management, and sustainable development, with popular methods like Analytic Hierarchy Process, Fuzzy Analytic Hierarchy Process, Technique for Order of Preference by Similarity to Ideal Solution, and Decision-Making Trial and Evaluation Laboratory. Decision-Making Trial and Evaluation Laboratory tends to be applied independently rather than in combination with other methods.
The study also reveals strong connections between these methods, with the Analytic Hierarchy Process playing a central role, frequently integrated with other approaches to optimize decision-making processes. Future recommendations include expanding the data collection scope and applying machine learning techniques to enhance analysis accuracy, while further exploring the potential applications of multi-criteria decision making in emerging fields.