Abstract
The authors propose to use cluster analysis techniques (particularly clustering) to speed-up the process of finding rules to be activated in complex decision support systems with incomplete knowledge. The authors also wish to inference within such decision support systems using rules, of which premises are not fully covered by the facts. The AHC or mAHC algorithm is used. The authors adapted Salton’s most promising path method with own modifications for a fast look-up of the rules.
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References
Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley, New York (1990)
Salton, G.: Automatic Information Organization and Retreival. McGraw-Hill, New York (1975)
Wakulicz-Deja, A., Nowak-Brzezińska, A., Jach, T.: Inference Processes in Decision Support Systems with Incomplete Knowledge. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS, vol. 6954, pp. 616–625. Springer, Heidelberg (2011)
Simiński, R., Nowak-Brzezińska, A., Jach, T., Xięski, T.: Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS, vol. 6954, pp. 232–237. Springer, Heidelberg (2011)
Jain, A., Dubes, R.: Algorithms for clustering data. Prentice Hall (1988)
Koronacki, J., Ćwik, J.: Statystyczne systemy uczące się. Exit, Warszawa (2008)
Frank, A., Asuncion, A.: UCI Machine Learning Repository. UC, SoIaCS, Irvine, CA (2010), http://archive.ics.uci.edu/ml
Myatt, G.: Making Sense of Data. A Practical Guide to Exploratory Data Analysis and Data Mining. John Wiley and Sons, Inc., New Jersey (2007)
Kumar, V., Tan, P., Steinbach, M.: Introduction to Data Mining. Addison-Wesley (2006)
Pawlak, Z.: Rough set approach to knowledge-based decision suport. European Journal of Operational Research, 48–57 (1997)
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Nowak-Brzezińska, A., Jach, T., Wakulicz-Deja, A. (2012). Inference Processes Using Incomplete Knowledge in Decision Support Systems – Chosen Aspects. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_17
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DOI: https://doi.org/10.1007/978-3-642-32115-3_17
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