Abstract
We discuss two applications of logic to the problem of object classification. The first is related to an application of multi-modal logics to the automatic feature extraction. The second is concerned with inductive reasoning for discovering an optimal feature set with respect to the precision of classification and for improving the performance of decision algorithms. We also present an exemplary system for recognizing handwritten digits based on Boolean reasoning, rough set methods and feature discovery by applying multi-modal logic.
This work was partially supported by the grant T11C01011 from State Committee for Scientific Research (Komitet Badan Naukowych).
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Bazan, J.G., Nguyen, H.S., Nguyen, T.T., Skowron, A., Stepaniuk, J. (1998). Synthesis of Decision Rules for Object Classification. In: Orłowska, E. (eds) Incomplete Information: Rough Set Analysis. Studies in Fuzziness and Soft Computing, vol 13. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1888-8_2
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DOI: https://doi.org/10.1007/978-3-7908-1888-8_2
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