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【答案】应助回帖
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sltmac: 金币+1 2012-04-28 08:05:24
yuzhe_999: 金币+100, 翻译EPI+1, ★★★★★最佳答案 2012-05-15 23:06:26
Formal concept analysis, which is proposed by Prof. Wille. R from Germanbased on formal context in 1982, is an effective knowledge acquisition and data analysis tool with a core of concept lattice. Form of background was used as a special information system, which is composed of double-value background: objects and attributes. At present, the formal concept analysis has been extensively investigated, and successfully applied to the field of machine learning, software engineering and information access.
Attribute reduction is one of the core issue of data mining theory. This paper includes the decision of formal context on how to proceed the inconsistent attribute reduction, which (approximate reduction) could be used in power system fault diagnosis. The main contents of this paper are as follows:
(1) the decision has been made towards the formal context for the inconsistent attribute reduction. The lower approximation consistent set of decision-making about Jane set was firstly defined. Then the lower approximation consistent set, and decision-making reduction set discrimination method were proposed, based on which a recognizable set of attributes and the discernibility matrix were constructed; Finally, the examples were demonstrated by the approximate reduction method.
(2) The decision rules has been extracted by using this approximate reduction in the power system fault diagnosis method. The confidence on decision-making rules of formal context of fault diagnosis and diagnosis were defined. With the help of approximate reduction method, the fault reduction for the background of the decision-making in the form of a power system was concluded. In fact, the fault diagnosis decision-making with confidence rules could help to run in accordance with the decision-making rules to determine the possible source of the fault element (or regional) failure to timely and accurate repair when a fault occurs.
Keywords: background of the form of inconsistent decision; attribute reduction; power system fault.
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