Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/789

 Title: Methods of Adaptive Extraction and Analysis of Knowledge for Knowledge-base Construction and Fast Decision Making Authors: Kuzemin, AlexanderFastova, DaryaYanchevsky, Igor Keywords: Expert SystemsKnowledge Acquisition Issue Date: 2005 Publisher: Institute of Information Theories and Applications FOI ITHEA Abstract: An approach for knowledge extraction from the information arriving to the knowledge base input and also new knowledge distribution over knowledge subsets already present in the knowledge base is developed. It is also necessary to realize the knowledge transform into parameters (data) of the model for the following decision-making on the given subset. It is assumed to realize the decision-making with the fuzzy sets’ apparatus. URI: http://hdl.handle.net/10525/789 ISSN: 1313-0463 Appears in Collections: Volume 12 Number 1

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