Fuzzy Web Information Retrieval System
نویسندگان
چکیده
In this paper, a fuzzy web information retrieval system is developed. The system uses many of the tools and methods involved in fuzzy logic and fuzzy set theory, along with standard algorithms involving information retrieval on the web. The results of the ranking algorithm use the fuzzy relational BK-products, fuzzy thesauri, and fuzzy closure properties for purposes of retrieving relevant documents to a user query. Along with the fuzzy inference engine, the other subsystems of a search engine are also developed. A crawler is developed that adheres to standard internet etiquette rules. An inverted index database is used to store the internet document information retrieved by the crawler and an interface is also provided to allow users to search for gathered information located within the database. The results of the developed system are compared with existing search engines. The benefits of using a fuzzy information retrieval system are discussed, along with the issues that arise from using these techniques.
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