Library and Information Science

Library and Information Science ISSN: 2435-8495
三田図書館・情報学会 Mita Society for Library and Information Science
〒108‒8345 東京都港区三田2‒15‒45 慶應義塾大学文学部図書館・情報学専攻内 c/o Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan
https://mslis.jp/ E-mail:mita-slis@ml.keio.jp
Library and Information Science 23: 137-147 (1985)
doi:10.46895/lis.23.137

原著論文Original Article

ファジィ集合理論に基づく重み付き文献検索システムWeighted document retrieval systems based on fuzzy set theory approaches

1慶應義塾大学文学部図書館・情報学科教授Professor, School of Library and Information Science, Keio University ◇ 〒108-8345 東京都港区三田二丁目15番45号 ◇ Mita 2-15-45, Minato-ku, Tokyo 108-8345, Japan

2獨協大学経済学部助教授Associate Professor, Faculty of Economics, Dokkyo University ◇ 〒340-0042 埼玉県草加市学園町1番1号 ◇ Gakuencho 1-1, Soka-shi, Saitama 340-0042, Japan

3慶應義塾大学大学院文学研究科図書館・情報学専攻Graduate School of Library and Information Science, Keio University ◇ 〒108-8345 東京都港区三田二丁目15番45号 ◇ Mita 2-15-45, Minato-ku, Tokyo 108-8345, Japan

発行日:1986年3月25日Published: March 25, 1986
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There exist unavoidable drawbacks in the conventional document retrieval systems based on Boolean logic. Every keyword assigned to the documents in the collection is given equal weight irrespective of its actual relatedness to each document. This aspect is also applicable to the search formula where keywords are treated equally, and there is no chance for a searcher to specify the extent of the keyword’s significance. In addition, AND operators are excessively influential when narrowing the range of the documents to be retrieved.

In order to get rid of the defects, a variety of techniques have been introduced into retrieval systems such as models using conditional probability theory, vector space, and so forth. Fuzzy set theory approaches are among these and are quite promising for this purpose since human behavior is essentially so fuzzy that it is difficult to be represented by, for example, probability terms.

This paper describes following items concerning fuzzy retrieval systems from this viewpoint. 1) General characteristics of fuzzy retrieval. 2) Roles and functions of the weight. 3) Calculation formula for the ‘Retrieval Status Value’. 4) Manipulating methods of the metamorphic functions of Boolean logical operators.

Finally, this paper mentions some problems of determining legitimate RSV and e1 formula, especially for handling NOT function, and of selecting adequate Membership Functions, when developing operational fuzzy retrieval systems.

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