The Popular Fuzzy-TOPSIS as the Main Method for Decision Model: An Object-Driven Model for Bibliometric-Based Literature Review

Abstract

Fuzzy logic serves as a computational modeling method, particularly prominent in the research domain of decision models. To assess the prevalent trends in the utilization of fuzzy logic in the research landscape of decision models and its common combinations with other methods, a conceptual model for article review was developed. This study involved three simple stages: Bibliometric analysis, article review and model construction. The findings indicate an exponential growth in the use of fuzzy logic according to 10,530 documents in ten years, with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) emerging as the widely favored method combined with fuzzy logic in decision model research (according to 11 documents in the year 2023). Additionally, a comprehensive conceptual model for bibliometric analysis-based reviewing was designed using an object-oriented approach; via UML tools class (with 20 identified classes), sequence and use case (with 3 identified use cases) diagram.