정보검색 시스팀에 Fuzzy Set이론의 적용 = An Application of Fuzzy Set Theory in Information Retrieval

다국어 초록 (Multilingual Abstract)

An automatic information retrieval system should provide adequate ffacilitices for expedient transfer of knowledge from document to users of these documents who request it. Because of a very large volume of sources, the transfer has to be selective, the selection criteion being specified by the user requesting the information.
Although some commercially available systems are now widely used, a great deal of difficult practical and theoretical problems in his field remain to be solved. In most operational information retrieval systems the standard retrieval methods based on set theory and binary logic are used. These methods would be much more attractive if they could be extended to include the importance of various index terms in document representations and search request formulations, in addition to a weighing mechanism which could be applied to rank the retrieved documents. This observation has been widely recognized in the literature as such extended retrieval methods could provide the precision of a Boolean search and the advantages of a ranked output. However, a closer examination of all the reported work reveais that up to the present the only possible approach of sufficient consitency and rigorousness is that based on recently developed fuzzy theory and fuzzy logic. As the concept of a fuzzy set is a generalization of the conventienal notion of a set, the generalization of the information retrieval methods based on set theory and binary logic can be derived in a natural way.
This paper presents and evaluation of some of the existiong techniques of document retrieval, examining their weak points. Then it outlines new techniques based on fuzzy sets and logic. The advantages of these new tochniques are discussed and a method of practical implementation of a fuzzy information retrieval system is briefly outlined.

목차 (Table of Contents)

• Ⅰ. 서 론
• 1. 문제의 제기
• 2. 선행연구의 개요
• Ⅱ. 현행 정보검색기법에 대한 개관
• 1. 정보검색기법의 분류
• 2. 현행 정보검색기법의 문제점
• Ⅲ. 정보검색시스팀에 Fuzzy Set이론의 적용
• 1. Fuzzy Set이론 및 Fuzzy Logic의 기본 개념
• 2. Fuzzy Set 및 Fuzzy Logic의 정의
• 3. 문헌검색 시스팀의 모델과 언어
• 4. Fuzzy Set이론에 의한 문헌 검색과정
• Ⅳ. 분석 및 고찰
• 1. 탐색 가중치의 산출과 성능평가
• 2. 검색기법의 분석고찰
• V. 요약 및 결론
• <Abstract>