Decision Trees Versus Systems of Decision Rules: A Rough Set Approach by Kerven Durdymyradov , Mikhail Moshkov , Azimkhon OstonovEnglish | PDF EPUB (True) | 2024 | 309 Pages | ISBN : 3031715853 | 39.3 MB
This book explores, within the framework of rough set theory, the complexity of decision trees and decision rule systems and the relationships between them for problems over information systems, for decision tables from closed classes, and for problems involving formal languages. Decision trees and systems of decision rules are widely used as means of representing knowledge, as classifiers that predict decisions for new objects, as well as algorithms for solving various problems of fault diagnosis, combinatorial optimization, etc. Decision trees and systems of decision rules are among the most interpretable models of knowledge representation and classification. Investigating the relationships between these two models is an important task in computer science.
