Starting from an incomplete information system, we add some information in two different ways: by an increase in the number of known values and by an increase in the number of attributes. The behavior of the similarity and preclusive rough approximations are studied in both cases.
Cattaneo, G., Ciucci, D. (2004). Investigation about time monotonicity of similarity and preclusive rough approximations in incomplete information systems. In Rough Sets and Current Trends in Computing 4th International Conference, RSCTC 2004, Uppsala, Sweden, June 1-5, 2004, Proceedings (pp.38-48). Springer Verlag [10.1007/978-3-540-25929-9_4].
Investigation about time monotonicity of similarity and preclusive rough approximations in incomplete information systems
CATTANEO, GIANPIERO;CIUCCI, DAVIDE ELIO
2004
Abstract
Starting from an incomplete information system, we add some information in two different ways: by an increase in the number of known values and by an increase in the number of attributes. The behavior of the similarity and preclusive rough approximations are studied in both cases.File in questo prodotto:
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