Aiming at Comprehensibility

摘要: Classifier comprehensibility is related to the possibility explain classification result with logical rules, and basic properties of such rules in Boolean logic main fuzzy logics are recalled. The chapter then addresses obtain sets by means genetic algorithms, generalization observational finally most common kind classifiers producing namely trees. Both general, obtaining from trees illustrated on examples spam filtering, recommender systems, malware detection.