Inference processes in decision support systems with incomplete knowledge
作者： Alicja Wakulicz-Deja , Agnieszka Nowak-Brzezińska , Tomasz Jach
DOI: 10.1007/978-3-642-24425-4_78
关键词:
摘要: Authors propose a new approach in the optimization of inference processes decision support systems with incomplete knowledge. The idea is based on clustering large set rules from knowledge bases as long it necessary to find relevant rule quickly possible. This work highly focused results experiments regarding influence Agnes' algorithm parameters quality process. Additionally, authors present optimal amount groups formed by rules.
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tjach.pl 参考文章(19)
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