Téléchargez le livre : Soft Methods for Integrated Uncertainty Modelling

Soft Methods for Integrated Uncertainty Modelling

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Éditeur :

Springer


Collection :

Advances in Intelligent and Soft Computing

Paru le : 2007-10-08

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Description
The idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations. For instance, Zadeh de?ned ‘Soft Computing’ as follows: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. Recently soft computing has, to some extent, become synonymous with a hybrid approach combining AI techniques including fuzzy systems, neural networks, and biologically inspired methods such as genetic algorithms. Here, however, we adopt a more straightforward de?nition consistent with the original concept. Hence, soft methods are understood as those uncertainty formalisms not part of mainstream s- tistics and probability theory which have typically been developed within the AI and decisionanalysiscommunity.Thesearemathematicallysounduncertaintymodelling methodologies which are complementary to conventional statistics and probability theory.
Pages
413 pages
Collection
Advances in Intelligent and Soft Computing
Parution
2007-10-08
Marque
Springer
EAN papier
9783540347767
EAN PDF
9783540347774
Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
41
Taille du fichier
4291 Ko
Prix
169,39 €

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