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Published in:
2009 | OriginalPaper | Chapter
Reasoning Decision Rules of an Uncertain System
Authors : Huanglin Zeng, Xiaohui Zeng
Published in: Rough Sets and Knowledge Technology
Publisher: Springer Berlin Heidelberg
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This paper is devoted to some studies in reasoning decision rules of an uncertain information system which is an incomplete or imprecise even ill-defined database. At first, Theoretical aspects of the knowledge redundancy and the knowledge simplification of an uncertain system is discussed based on theoretical aspects of rough sets. A maximal information coverage rate is defined with the acquired data of a decision table in an information system on condition attributes. A criterion of the knowledge simplification and a basic algorithm realization of reasoning decision rules of an uncertain information system is presented to induce a mathematical model of an uncertain system with the maximum information coverage. The feasibility of the proposed approach of reasoning decision rules is validated by some of examples here.