Case Based Design

丛 书 名：Studies in Computational Intelligence

版本说明：1

作     者：Yuri Avramenko Andrzej Kraslawski 

I S B N：(纸本) 9783540757054;9783642094859 

出 版 社：Springer Berlin  Heidelberg 

出 版 年：1000年

页      数：XII, 181页

主 题 词：Mathematical and Computational Engineering Artificial Intelligence Engineering Design 

摘      要：The case-based reasoning (CBR) and case-based design (CBD) have been around for some time and established themselves as one of the commonly used mechanisms of approximate reasoning in intelligent systems and de- sion support systems, in particular. In a nutshell, the CBR mechanisms o?er a powerful and general environment in which we generalize on a basis of - ready accumulated experience being represented in the form of a ?nite and relatively small collection of cases. Those cases constitute the essence of the existing domain knowledge. When encountering a new situation we invoke and eventually modify the already collected decision scenarios (cases) and arrive at the pertinent decision or a certain design alternative. Interestingly, uncertainty or granularity of resulting decision is inherently associated with the nature of the cases being used in the reasoning process and a way in which partial matching takes place between the historical ?ndings (cases) and a current evidence. ThebookbyProfessorsAvramenkoandKraslawskiisuniqueinseveral- portant ways. First, it is an impressive and in-depth treatment of the essence of the case-based reasoning strategy and case-based design dwelling upon the algorithmic facet of the paradigm. Second, the authors provided an excellent applied research framework by showing how this development can be e?- tivelyutilizedinrealwordcomplicatedenvironmentofprocessengineering–a pursuit that is rarely reported in the literature in such a comprehensive m- ner as done in this book.