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1. 发明公开

KR1020020013338A 학교 선정을 위한 웹 기반 퍼지 의사 결정 지원 시스템 无效
标题翻译：基于WEB的FUZZY决策支持系统选择学校
公开(公告)号：KR1020020013338A
公开(公告)日：2002-02-20
申请号：KR1020000047047
申请日：2000-08-14
申请人： 주식회사 이젠씨 , 박대희
发明人： 전현 , 조혁 , 박대희
IPC分类号： G06Q50/20 , G06Q10/04
摘要： PURPOSE: A web-based fuzzy decision-making support system for selecting school is provided to increase the reliance and persuasiveness of a user concerned about the result of the decision-making by offering the result in the explanation and an appropriate value. CONSTITUTION: The system comprises many clients(10), a DB(21), a web server(22), a fuzzy decision-making support system(23), and a DB manager(24). The DB receives the input conditions of many clients, analyzes the features of attribute of the input conditions, and stores fuzzy rules based on decision-making criteria and project goal. The fuzzy decision-making support system, fuzzy inference engine, runs the fuzzy inference based on the decision-making table of the DB. The DB manager extends the decision-making table necessary to drive the fuzzy inference engine to the fuzzy decision-making table by referring to the DB according to the input conditions of many clients. The web server receives the input conditions from many clients, makes and outputs an inference result page, and sends the inference result page to many clients through the internet(11).
摘要翻译：目的：提供基于网络的模糊决策支持系统，用于选择学校，以通过提供解释结果和适当的价值来增加用户对决策结果的依赖和说服力。构成：系统包括许多客户端（10），数据库（21），网络服务器（22），模糊决策支持系统（23）和数据库管理器（24）。 DB接收到许多客户的输入条件，分析输入条件属性的特征，并根据决策标准和项目目标存储模糊规则。模糊决策支持系统，模糊推理机，基于DB决策表运行模糊推理。数据库管理员根据许多客户端的输入条件，通过参考数据库将扩展模糊推理引擎所需的决策表扩展到模糊决策表。 Web服务器从许多客户端接收输入条件，产生和输出推理结果页面，并通过互联网将推荐结果页面发送给许多客户端（11）。

2. 发明公开

KR1020020018777A 패턴 분류를 위한 점증적 갱신의 데이터 마이닝 방법 无效
标题翻译：数据挖掘方法可以对模式分类进行增量更新
公开(公告)号：KR1020020018777A
公开(公告)日：2002-03-09
申请号：KR1020000052042
申请日：2000-09-04
申请人： 주식회사 이젠씨 , 박대희
发明人： 박대희 , 송지영
IPC分类号： G06F17/00 , G06F17/30 , G06F17/40
摘要： PURPOSE: A data mining method capable of incremental-updating for pattern classification is provided to achieve incremental-updating and to reduce a time complexity. CONSTITUTION: If data are inputted through an interface, a contraction program module contracts this inputted data through horizontal contraction and vertical contraction, a rough set contraction technique, without a loss of information, while deleting redundant data and doubled data. Then a rule creation program module maps the contracted data to rules in a one-to-one ratio in the form of a rectangle using an enhanced fuzzy rectangular decomposition technique, and carries out mining for some rules having correlation.
摘要翻译：目的：提供能够对模式分类进行增量更新的数据挖掘方法，以实现增量更新和减少时间复杂度。构成：如果通过接口输入数据，收缩程序模块通过水平收缩和垂直收缩，粗略收缩技术收集输入数据，而不会丢失信息，同时删除冗余数据和双倍数据。然后，规则创建程序模块使用增强的模糊矩形分解技术将合同数据以矩形形式的一对一比例映射到规则，并对具有相关性的一些规则进行挖掘。

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