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AFS理论和数据挖掘与模糊认知图 被引量:1

AFS theory, fuzzy cognitive map and data miuing
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摘要 对近年来模糊认知图、数据挖掘以及AFS理论的发展和应用进行了综述,分析了现有的关于模糊认知图的研究的局限和尚待研究的问题,进而指出可以应用AFS理论来研究模糊认知图并应用于数据挖掘,同时建立一套严密、系统、统一的模糊认知图建立和分析方法,从而降低模糊认知图设计的难度和复杂程度,提高其分析水平,改变实际系统的模糊认知图由于包含大量的节点和复杂的连接关系很难进行分析和处理的现状.还介绍了基于AFS理论的模糊认知图的意义、需要解决的主要问题以及应用前景. This paper presents a brief review of the developments and applications about Fuzzy Cognitive Maps, data mining and AFS theory. It also analyses the limits of the researches in existence about the Fuzzy Cognitive Maps and points out that there is advantage using AFS theory to study Fuzzy Cognitive Maps. A set of rigorous, systemic and unitive analytic and design method about Fuzzy Cognitive maps would be given using this way. This paper also discusses the significance, the main problems and the foreground about the study of Fuzzy Cognitive Maps based on AFS theory and its application on data mining.
出处 《大连海事大学学报》 CAS CSCD 北大核心 2004年第4期106-109,共4页 Journal of Dalian Maritime University
基金 国家自然科学基金资助项目(60174014).
关键词 AFS理论 模糊认知图 数据挖掘 AFS theory fuzzy cognitive maps data mining
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同被引文献28

  • 1林春梅,何跃,汤兵勇,刘兴华.模糊认知图在股票市场预测中的应用研究[J].计算机应用,2006,26(1):195-197. 被引量:8
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