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首页> 外文会议>International Symposium on Knowledge and Systems Sciences amp; International Workshop on Meta-Synthesis and Complek System(KSS'2002 amp; MCS'2002); 20020807-08; Shanghai(CN) >Knowledge Retrieve in the Knowledge Management System Through A Fuzzy Condition Matching Method
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Knowledge Retrieve in the Knowledge Management System Through A Fuzzy Condition Matching Method

机译：模糊条件匹配法在知识管理系统中的知识检索

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摘要

With the flood of information on the Web, selecting interested knowledge from a huge amount of information is receiving more and more attention. In this paper, a new fuzzy condition matching method is proposed based on the a-cuts of fuzzy sets and the a -cuts of equivalence relations to construct membership functions and the prototype of knowledge selection system. Therefore the useful knowledge can be obtained from the knowledge base in terms of the matching conditions. At first, a brief review of the fuzzy set theory used in this paper is presented, including some basic concepts and definitions. Then a sequential three-step procedure involving fuzzy knowledge classification, fuzzy condition matching, and knowledge retrieve is addressed in detail. The testing results show that the proposed fuzzy condition matching method is effective and feasible to select knowledge intelligently.
机译：随着Web上信息的泛滥，从大量信息中选择感兴趣的知识越来越受到关注。提出了一种基于模糊集的a-割和等价关系的a-割的模糊条件匹配方法，以构造隶属函数和知识选择系统的原型。因此，可以根据匹配条件从知识库中获得有用的知识。首先，简要介绍了本文使用的模糊集理论，包括一些基本概念和定义。然后详细介绍了一个包含模糊知识分类，模糊条件匹配和知识检索的顺序三步过程。测试结果表明，所提出的模糊条件匹配方法是智能选择知识的有效方法。

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