Rough Set Approach to Incomplete Information Systems

Marzena Kryszkiewicz

Abstract

In the paper we present Rough Set approach to reasoning in incomplete information systems. We propose reduction of knowledge that eliminates only that information, which is not essential from the point of view of classification or decision making. In our approach we make only one assumption about unknown values: the real value of a missing attribute is one from the attribute domain. However, we do not assume which one. We show how to find decision rules directly from such an incomplete decision table, which are as little non-deterministic as possible and have minimal number of conditions.
Author Marzena Kryszkiewicz II
Marzena Kryszkiewicz,,
- The Institute of Computer Science
Journal seriesInformation Sciences
Issue year1998
Vol112
No1-4
Pages39-49
Keywords in EnglishRough sets; Incomplete information systems; Decision rules
DOIDOI:10.1016/S0020-0255(98)10019-1
Languageen angielski
Score (nominal)32
Publication indicators WoS Impact Factor: 2006 = 1.003 (2) - 2007=1.813 (5)
Citation count*1613 (2018-06-27)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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