Article
Fuzzy Logic Applications for Knowledge Discovery: a Survey
Author/s | Ropero Rodríguez, Jorge
León de Mora, Carlos Carrasco Muñoz, Alejandro Gómez Gutiérrez, Álvaro Ariel Rivera Romero, Octavio |
Department | Universidad de Sevilla. Departamento de Tecnología Electrónica |
Publication Date | 2011 |
Deposit Date | 2022-04-13 |
Published in |
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Abstract | In this paper, we present a survey on Fuzzy Logic (FL) applications for Knowledge Discovery (KD),
focusing on Information Retrieval (IR) and Information Extraction (IE). KD has been widely used for
the search of ... In this paper, we present a survey on Fuzzy Logic (FL) applications for Knowledge Discovery (KD), focusing on Information Retrieval (IR) and Information Extraction (IE). KD has been widely used for the search of information in vague, imprecise and noisy environments. Computational Intelligence, and mainly Fuzzy Logic, emerges as an ideal tool for IR and IE systems. We introduce a huge variety of FL applications, using the two main existing approaches: the applications based on the Vector Space Model (VSM); and the applications based on ontologies. For VSM applications, we split the applications into those related to queries, clustering, user profiles and hierarchical relations. Meanwhile, we also consider ontology applications, later focusing in the semantic web. However, all these applications are closely related. |
Citation | Ropero Rodríguez, J., León de Mora, C., Carrasco Muñoz, A., Gómez Gutiérrez, Á.A. y Rivera Romero, O. (2011). Fuzzy Logic Applications for Knowledge Discovery: a Survey. International Journal of Advancements in Computing Technology, 3 (6), 187-198. |
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