Fuzzy logic based tools for classification and reasoning with uncertainty

Two methods for classification processes affected by uncertainty in the description phase and the class definition phase and for approximate reasoning in decision-making activities with a combination of certain and uncertain knowledge are described. Based on the two frameworks, an integrated set of automated fuzzy-logic-based tools for classification and decision-making activities has been developed and inserted in a classical logic programming environment. A homogeneous and flexible environment for the automatic handling of certain and uncertain knowledge in classification and decision problems is obtained