Interactive query specification in fuzzy document retrieval systems using genetic algorithms

Tetsuya Murai; Hideo Kanemitsu; Masaoki Miyakoshi; Masaru Shimbo

doi:10.1117/12.211814

13 June 1995 Interactive query specification in fuzzy document retrieval systems using genetic algorithms

Tetsuya Murai, Hideo Kanemitsu, Masaoki Miyakoshi, Masaru Shimbo

Proceedings Volume 2493, Applications of Fuzzy Logic Technology II; (1995) https://doi.org/10.1117/12.211814
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

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.

Citation Download Citation

Tetsuya Murai, Hideo Kanemitsu, Masaoki Miyakoshi, and Masaru Shimbo "Interactive query specification in fuzzy document retrieval systems using genetic algorithms", Proc. SPIE 2493, Applications of Fuzzy Logic Technology II, (13 June 1995); https://doi.org/10.1117/12.211814

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