Transforming Decision Rule Systems into Decision Trees

Syntactic Approach

von Kerven Durdymyradov, Mikhail Moshkov, Azimkhon Ostonov

124 Seiten, Hardcover

Kurzbeschreibung des Verlags

This book is devoted to the transforming of decision rule systems into deterministic and nondeterministic decision trees that recognize the properties of these systems. It continues the development of the so-called syntactic approach to the study of the transformation problem, which assumes that the input data is unknown, and there is only a system of decision rules that must be transformed into decision trees.

The book studies the depth and weighted depth of decision trees based on decision rule systems, and algorithms that model the operation of such decision trees for given tuples of attribute values. The results obtained in the book may be useful for researchers using decision trees and decision rule systems in data analysis, especially in rough set theory, logical analysis of data, and test theory. This book can also be used to create courses for graduate students.

• Reihe: Studies in Computational Intelligence
• Themen: Informatik und Informationstechnologie Informatik Künstliche Intelligenz (KI)
• ISBN: 9783032141170
• Sprache: Englisch
• Erscheinungsdatum: 21.04.2026
• Größe: 23.5 x 15.5 cm
• Verlag: Springer International Publishing