Generative Artificial Intelligence and Probabilistic Trees for the Linguistic Data Summarization in Wave Energy Decision-Making
This paper presents a hybrid model that combines linguistic data summarization techniques, algorithms for constructing probabilistic trees, and various Generative Artificial Intelligence models for learning and generating linguistic summaries to aid decision-making. The proposal is validated using methodological triangulation techniques that demonstrate high consistency in the knowledge discovered. The proposal also compares different Generative Artificial Intelligence models; among the evaluated models, Gemini achieved the best performance. However, it is evident that in certain contexts and tasks, small language […]