MULTICRITERIA DECISION SUPPORT (AMD) AND ARTIFICIAL INTELLIGENCE (AI): A SYSTEMATIC REVIEW OF THE LITERATURE

This study presents a Systematic Literature Review (RSL) with bibliometric analysis on the integration of Multicriteria Decision Support Methods (MCDM) and Artificial Intelligence (AI), between 2012 and 2025, based on Scopus. For the selection, screening and categorization of the articles, the PAPER Method was applied, and the Bibliometrix software for data analysis. After screening 311 articles, 56 met the defined criteria. The results indicate that the integration of MCDM and AI provides gains in stability, accuracy, prediction, and efficiency in complex decisions, with emphasis on hybrid models applied in sectors such as education, health, logistics, and urban planning. The analysis pointed to an annual growth of 19.38% in publications, reflecting the growing interest of the scientific community in the topic. However, challenges such as the instability of the models, dependence on robust data, and subjectivity in the definition of weights still persist, pointing to opportunities for future studies.