Research of Enterprise Competition Information Intelligent Collecting System Based on Rough Set

Yang Kefei, Pan Yu, Huliang Bin, Pan Fang
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Abstract

According to the characteristics of incompleteness, contradictory and extensiveness of the enterprise competition information, rough set theory is used to guide the crawling of web spider, the gathering efficiency of enterprise completion collection is improved by similarity class expansion and attributes reduction based on discrimination. The achievement of this research has already been applied to the practical construction of information management center of an enterprise so as to offer strategic basis for operation decision of the enterprise.
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基于粗糙集的企业竞争信息智能采集系统研究
根据企业竞争信息的不完全性、矛盾性和广泛性特点,利用粗糙集理论指导网络蜘蛛爬行,通过相似类扩展和基于判别的属性约简,提高企业竞争信息的收集效率。本研究成果已应用于企业信息管理中心的实际建设中,为企业的经营决策提供战略依据。
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