Abstract
We present a new method for extracting rules from incomplete Information Systems (IS) which are generalizations of information systems introduced by Pawlak [8],[9]. In this paper, a new extracting rule algorithm from more complete information system is proposed. First, we produce a covering on a domain according to attribute value of the objects, and then reducts are made on this covering. Second, we utilize rough sets model based on covering to predict some unknown values, so that an incomplete information system can be transformed to a more complete information system. From such system we extract all certain and possible rules. This algorithm was initially tested on children flat feet database, and the results are very promising.
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Pauk, A.D.J. (2012). New Method for Finding Rules in Incomplete and Distributed Information Systems Controlled by Reducts. In: Hassanien, A.E., Salem, AB.M., Ramadan, R., Kim, Th. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2012. Communications in Computer and Information Science, vol 322. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35326-0_5
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DOI: https://doi.org/10.1007/978-3-642-35326-0_5
Publisher Name: Springer, Berlin, Heidelberg
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