Sistemas Inteligentes de Apoio à Decisão

The aim of this course is to teach students the theoretical foundations of artificial intelligence, systems architecture and the main approaches used in intelligent systems. Particular emphasis is given to the basic principles of approximate reasoning based on fuzzy logic and its application to modeling, control and decision making, combining qualitative and quantitative data. The case studies reflect situations of decision making in uncertain and/or complex environments in the context of Industrial Engineering.