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Reduction is the core issue of rough set theory. Integrate the parallel idea into the attribute reduction in order to improve the efficiency and construct a parallel rough set attribute reduction algorithm based on attribute frequency. The algorithm divides the original information system into several subsystems according to the proposed division of thought, then uses the properties of frequency as...
The research of knowledge granularity has been a hotspot at home and abroad. In incomplete information systems of the rough set, we give a formula, which calculates the attribute frequency directly without acquiring the discernibility matrix. Then applying it to the field of knowledge granularity, we give a quick calculation of the attribute reduction algorithm, which of the time complexity is O(|C|...
This paper based on the rough set attribute reduction algorithm analysis and exposition. From theory of algorithms, algorithm performance and other aspects, the author undertook an analysis, classification, research and summary. On the attribute reduction algorithm based on rough set for the future research work is prospected and discuss.
Fault diagnosis method in the article is based on rough set of ECS-CNCL (Electrical Control System for Computer Numerical Control Lathe), established for the modern complex ECS-CNCL fault diagnosis, can handle a large, unsure, incomplete and inaccurate data of ECS-CNCL effectively, so as to facilitate the new rules of inference. The basic approach: saving the data which the fault diagnosis needs into...
According to the discernibility function constructed by the discernibility matrix, in this paper a new method is proposed that can be easily understood and programmed to get the minimal disjunctive normal form item by item. This method is proved by theorems that the approach can certainly get the minimal disjunctive normal form and all of the reductions. An example shows that the approach is correct...
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