Lógica fuzzy aplicada à inteligência artificial

Abstract

Fuzzy logic is a powerful tool in the field of artificial intelligence (AI), enabling AI systems to handle the complexity and uncertainty of the real world in a more flexible and adaptive way. In this work, we begin the study of fuzzy logic theory, which has nuances compared to traditional logic, using techniques to generate responses based on imprecise information. We present operations between fuzzy sets and explore some fuzzy norms and conorms. Finally, we provide an example using the scikit-fuzzy library for Python to solve a suction level problem, where a vacuum cleaner must operate according to the surface and the level of dirt in the environment, using fuzzy logic.