case based design applications von kraslawski andrzej (6 Ergebnisse)

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Zustand: Gut. Zustand: Gut | Seiten: 196 | Sprache: Englisch | Produktart: Bücher.

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.