The Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems

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dc.creatorRubens, Neil
dc.date2006-10-08
dc.date.accessioned2026-07-07T07:27:49Z
dc.date.available2026-07-07T07:27:49Z
dc.descriptionThe quality of the ranking function is an important factor that determines the quality of the Information Retrieval system. Each document is assigned a score by the ranking function; the score indicates the likelihood of relevance of the document given a query. In the vector space model, the ranking function is defined by a mathematic expression. We propose a fuzzy logic (FL) approach to defining the ranking function. FL provides a convenient way of converting knowledge expressed in a natural language into fuzzy logic rules. The resulting ranking function could be easily viewed, extended, and verified: * if (tf is high) and (idf is high) > (relevance is high); * if (overlap is high) > (relevance is high). By using above FL rules, we are able to achieve performance approximately equal to the state of the art search engine Apache Lucene (deltaP10 +0.92%; deltaMAP -0.1%). The fuzzy logic approach allows combining the logic-based model with the vector model. The resulting model possesses simplicity and formalism of the logic based model, and the flexibility and performance of the vector model.
dc.identifierhttps://arxiv.org/abs/cs/0610039
dc.identifierhttp://arxiv.org/abs/cs/0610039
dc.identifierN. Rubens. The application of fuzzy logic to the construction of the ranking function of information retrieval systems. Computer Modelling and New Technologies, 10(1):20-27, 2006
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/117514
dc.subjectInformation Retrieval
dc.subjectArtificial Intelligence
dc.titleThe Application of Fuzzy Logic to the Construction of the Ranking Function of Information Retrieval Systems
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