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计算机科学 2012
Research on Method of Generalized Decision Rule Acquisition Based on GrC in Inconsistent Decision Systems
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Abstract:
Because of various subjective and objective factors such as noise in data, inconsistent data occurs more frequently in recent years. This rectuires exploring some method and technictue that can directly analyze and deal with such inconsistent data. I}his paper studied generalized decision rule acquisition inconsistent decision systems. It first analyzed the basic principle of decision rule acquisition based GrC, and then gave a general method of computing all minimum generalized decision rule sets. This method has no need of constructing discernibility matrix and can be executed concurrently, so it has relatively low space cost and relatively high efficiency. In addition, it also can be easily expanded to compule all minimum generalized decision rule sets of other types. This provides a general method of rule acquisition in inconsistent decision systems.