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Importance and Interaction of Conditions in Decision Rules

Part of the Lecture Notes in Computer Science book series (LNAI,volume 2475)

Abstract

Knowledge discovered from data tables is often presented in terms of “if... then...” decision rules. With each rule a confidence measure is associated. We present a method for measuring importance of each single condition or interactions among groups of conditions in the “if” part of the rules. The methodology is based on some indices introduced in literature to analyze fuzzy measures.

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© 2002 Springer-Verlag Berlin Heidelberg

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Greco, S., Matarazzo, B., Słowiński, R., Stefanowski, J. (2002). Importance and Interaction of Conditions in Decision Rules. In: Alpigini, J.J., Peters, J.F., Skowron, A., Zhong, N. (eds) Rough Sets and Current Trends in Computing. RSCTC 2002. Lecture Notes in Computer Science(), vol 2475. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45813-1_33

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  • DOI: https://doi.org/10.1007/3-540-45813-1_33

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44274-5

  • Online ISBN: 978-3-540-45813-5

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