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Proceedings Paper

Interactive query specification in fuzzy document retrieval systems using genetic algorithms
Author(s): Tetsuya Murai; Hideo Kanemitsu; Masaoki Miyakoshi; Masaru Shimbo
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Paper Abstract

An interactive query specification method in fuzzy document retrieval using a genetic algorithm is proposed based on a possible-worlds perspective where every world is represented by a bit code of 1 and 0 which corresponds to truth and false, respectively. Given a query, several seed worlds are generated in a set of worlds and seed worlds. Schemata generated through selection, crossover, and mutation can be regarded as candidates for possible needs implicit in the user, and then he can select some of these schemata to specify his need and revise his query interactively.

Paper Details

Date Published: 13 June 1995
PDF: 12 pages
Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); doi: 10.1117/12.211814
Show Author Affiliations
Tetsuya Murai, Hokkaido Univ. of Education (Japan)
Hideo Kanemitsu, Hokkaido Univ. of Education (Japan)
Masaoki Miyakoshi, Hokkaido Univ. (Japan)
Masaru Shimbo, Hokkaido Univ. (Japan)

Published in SPIE Proceedings Vol. 2493:
Applications of Fuzzy Logic Technology II
Bruno Bosacchi; James C. Bezdek, Editor(s)

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