Decision Table Reduct Relation Relation Schema Minimal Set Time Complexity
Issue Date:
2015
Publisher:
Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation:
Serdica Journal of Computing, Vol. 9, No 2, (2015), 167p-176p
Abstract:
In recent years, rough set approach computing issues concerning
reducts of decision tables have attracted the attention of many researchers.
In this paper, we present the time complexity of an algorithm
computing reducts of decision tables by relational database approach. Let
DS = (U, C ∪ {d}) be a consistent decision table, we say that A ⊆ C is a
relative reduct of DS if A contains a reduct of DS. Let s = <C ∪ {d} , F>
be a relation schema on the attribute set C ∪ {d}, we say that A ⊆ C is
a relative minimal set of the attribute d if A contains a minimal set of d.
Let Qd be the family of all relative reducts of DS, and Pd be the family of
all relative minimal sets of the attribute d on s.
We prove that the problem whether Qd ⊆ Pd is co-NP-complete.
However, the problem whether Pd ⊆ Qd is in P .
