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서지반출
Evaluation of Classified Information on Web Agent Using Fuzzy Theory
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  • Evaluation of Classified Information on Web Agent Using Fuzzy Theory
  • Evaluation of Classified Information on Web Agent Using Fuzzy Theory
저자명
Kim. Doo-Ywan,Kim. Tae-Ywan
간행물명
International journal of fuzzy logic and intelligent systems
권/호정보
2005년|5권 3호|pp.216-221 (6 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

The rapid growth and spread of the World Wide Web has made it possible to easily access a variety of useful information. It is, however, very difficult to retrieve, manage, and use the desired information in web. Various kinds of systems such as Search engines, MetaSearch engines, Spiders, Softbots, Intelligent Agents or Web Agents have been developed by a large number of researchers and companies. Those systems as intelligent agent are employed to avoid the overload of information. To efficiently improve the Software Agents, it is necessary to represent and classify the retrieved data. And to improve performance of the Intelligent Agents to create the classification, it is offered how to evaluate the propriety with other information retrieved from the Web and to recommend to the user the most suitable information.