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**Rough set approach to incomplete information systems.**
*(English)*
Zbl 0951.68548

Summary: 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.

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\textit{M. Kryszkiewicz}, Inf. Sci. 112, No. 1--4, 39--49 (1998; Zbl 0951.68548)

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### References:

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[10] | Kryszkiewicz, M., Rules in incomplete information systems, (Proceedings from the Third Joint Conference on Information Sciences. Proceedings from the Third Joint Conference on Information Sciences, North Carolina, USA (2-5 March 1997)) · Zbl 0948.68214 |

[11] | Kryszkiewicz, M., Generation of rules from incomplete information systems (25-27 June 1997), submitted to PKDD’97, Trondheim Norway |

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