Rough Set Theory And Its Applications In The Power Business Data Mining

Rough set theory which was proposed by Pawlak in the early 1980s is a new mathematical theory to deal with ambiguous and uncertain knowledge. The main idea of the theory is to export the question's decision-making or classification rules through the knowledge reduction while preserving the consistency of classification. To reduce the massive data of GIS quickly and efficiently, the existing common attribute reduction algorithms and their respective scope of application are analyzed. And further more, a new reduction method based on genetic algorithm (GA) is presented and performance of this method is largely improved by choosing an effective fitness function. And it also introduces the idea of adaptive genetic algorithm to promise the factors of fitness function changed automatically with the value of fitness function, then it can increase the ability of global optimization. The feasibility and efficiency of the presented method is demonstrated by analyzing the examples of attribute data in power business.Variable precision rough set is an extension of traditional rough set theory; it relaxes the restricted defining of approximation boundary in standard rough set theory and improves the anti-interference ability and Prediction ability to the new data of rough set model by setting up threshold valueβ. If noise thresholdβis different, the reduction results will be different too. Therefore the valueβshould be choice reasonably on the application. In view of the bottlenecks that traditional RS theory can not fully deal with incomplete information system, an expansion for traditional RS theory has been raised and contributed to the direction of RS practical development. A mutual confluence of RS and other technologies that concludes the cloud model, granular computing, and concept lattices, etc is a direction for future development that can solve a number of bottlenecks RS encountered effectively. The author will focus on their achievements in the settling the GIS-SDM.The introducing of rough set theory in the Grid Visualization Management System (GVMS) platform could enhance the decision analysis capabilities and the intelligent management of network in a large part.