Abstract
A model of information retrieval using rough sets and fuzzy multisets is considered. Fuzzy multiset theory is described and fundamental Operations are defined. Rough sets are reviewed in relation to multisets. The present model of information retrieval uses a single universe in which different types of information items are collected and multirelations describe associations between the information items. Equivalence classes for rough sets and their extension to multisets are moreover studied. Since current search techniques on the World Wide Web handle redundant information pieces with degrees of relevance, the present method is appropriate as the theoretical framework for them, the up-to-date methods of information retrieval.
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Miyamoto, S. (2000). Rough Sets and Multisets in a Model of Information Retrieval. In: Crestani, F., Pasi, G. (eds) Soft Computing in Information Retrieval. Studies in Fuzziness and Soft Computing, vol 50. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1849-9_16
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DOI: https://doi.org/10.1007/978-3-7908-1849-9_16
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