Abstract
In this paper, we propose an information retrieval approach based on interval-valued fuzzy theory which allows to express the total and partial ignorance in the knowledge domain (i.e the incidence matrix). Hence, we propose i) to deal with the presence of partial or total ignorance in the knowledge domain; ii) the application of different interval-valued fuzzy generalized derivations operators to express different queries forms, namely conjunctive and disjunctive queries as well as negation in the queries; iii) the linearization of the lattice structure of formal concepts satisfying a given query based on hamming distance in order to enhance lattice navigation.
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Zerarga, L., Djouadi, Y. (2012). Interval-Valued Fuzzy Extension of Formal Concept Analysis for Information Retrieval. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7663. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34475-6_73
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DOI: https://doi.org/10.1007/978-3-642-34475-6_73
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