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作 者:张捍东[1] 许宝栋[1] 杨维翰[2] 汪定伟[1]
机构地区:[1]东北大学信息科学与工程学院 [2]安徽工业大学电气信息学院
出 处:《华中科技大学学报(自然科学版)》2002年第6期73-75,共3页Journal of Huazhong University of Science and Technology(Natural Science Edition)
基 金:国家自然科学基金资助项目 (70 1710 5 6);国家重点科技攻关项目 (97 5 62 0 1 0 7)
摘 要:利用数据挖掘技术和模糊关系数据库能够分析和处理大量复杂数据关系并进而发现有用知识和模式的优点 ,将两者结合应用于企业战略管理与决策过程中 ,在分析企业的内外部运行环境时 ,通过建立模糊近似关系 ,对相关模糊区域进行最优划分 ,从而识别企业的运行模式 ,确定出所涉及的每一企业在竞争市场中的相对地位 .为企业进一步制定和实施发展战略 ,最终实现科学的战略决策 。The basic concept of data mining and fuzzy relation database are introduced in this paper. The advantages which can easily analyze and tackle a great deal of complicated data relation are utilized and the useful knowledge and patterns hidden in the data are discovered. The both are applied to the process of enterprises′ strategic management and decision making. The optimal partition of related fuzzy domain by formed fuzzy proximity relation is obtained while analyzing enterprises′ inner and outer operation environment, and their operation patterns are recognized and the relative location of each enterprise is determined to some discussed scope competitive markets. It provides effective basis for enterprises to set up and execute their development strategies and realize scientific strategic decision making.
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