Comparative Analysis of Deterministic and Nondeterministic Decision Trees for Decision Tables from Closed Classes

04/20/2023

∙

by   Azimkhon Ostonov, et al.

∙

0

∙

share

In this paper, we consider classes of decision tables with many-valued decisions closed under operations of removal of columns, changing of decisions, permutation of columns, and duplication of columns. We study relationships among three parameters of these tables: the complexity of a decision table (if we consider the depth of decision trees, then the complexity of a decision table is the number of columns in it), the minimum complexity of a deterministic decision tree, and the minimum complexity of a nondeterministic decision tree. We consider rough classification of functions characterizing relationships and enumerate all possible seven types of the relationships.