06106046

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06106046 Nowak-Brzezi\'nska, Agnieszka Jach, Tomasz Wakulicz-Deja, Alicja Inference processes using incomplete knowledge in decision support systems -- chosen aspects. Yao, JingTao (ed.) et al., Rough sets and current trends in computing. 8th international conference, RSCTC 2012, Chengdu, China, August 17--20, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-32114-6/pbk). Lecture Notes in Computer Science 7413. Lecture Notes in Artificial Intelligence, 150-155 (2012). 2012 Berlin: Springer EN knowledge bases cluster analysis clustering decision support systems incomplete knowledge inference AHC

doi:10.1007/978-3-642-32115-3_17

Summary: 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.