In this article, we generalize Pawlak's rough approach for simplifying the decision table in an information system. We consider an information system where attribute values are not always quantitative, but are rather subjective, having vague or imprecise meanings. Some objects may have attribute val
On the Decision Table with Maximal Number of Reducts
β Scribed by Hung Son Nguyen
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 562 KB
- Volume
- 82
- Category
- Article
- ISSN
- 1571-0661
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β¦ Synopsis
Searching for reducts is a basic problem for many rough set methods like rule induction, classification, etc.. Many of them can not be realized in exact way because of existing possibly exponential number of (relative) reducts in decision tables. In this paper we investigate properties of the most malicious decision tables, i.e., tables with maximal number of reducts. We show that in such systems, the number of objects must be also exponential. The presented method is based on Boolean reasoning approach.
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## Abstract A maximal independent set of a graph __G__ is an independent set that is not contained properly in any other independent set of __G__. Let __i(G)__ denote the number of maximal independent sets of __G__. Here, we prove two conjectures, suggested by P. ErdΓΆs, that the maximum number of m