Fuzzy logic and the Internet (FLINT): Internet, World Wide Web, and search engines

Abstract Retrieving relevant information is a crucial component of cased-based reasoning systems for Internet applications such as search engines. The task is to use user-defined queries to retrieve useful information according to certain measures. Even though techniques exist for locating exact matches, finding relevant partial matches might be a problem. It may not be also easy to specify query requests precisely and completely – resulting in a situation known as a fuzzy-querying. It is usually not a problem for small domains, but for large repositories such as World Wide Web, a request specification becomes a bottleneck. Thus, a flexible retrieval algorithm is required, allowing for imprecise or fuzzy query specification or search.

[1]  L. Zadeh.  A new direction in AI: toward a computational theory of perceptions , 2002 .

[2]  Lotfi A. Zadeh.  A prototype-centered approach to adding deduction capability to search engines-the concept of protoform , 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

[3]  R. Krishnapuram,et al.  A fuzzy relative of the k-medoids algorithm with application to web document and snippet clustering , 1999, FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315).