bokomslag Soft Methods for Integrated Uncertainty Modelling
Data & IT

Soft Methods for Integrated Uncertainty Modelling

Jonathan Lawry Enrique Miranda Alberto Bugarin Shoumei Li Maria Angeles Gil

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  • 413 sidor
  • 2006
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.
  • Författare: Jonathan Lawry, Enrique Miranda, Alberto Bugarin, Shoumei Li, Maria Angeles Gil
  • Illustratör: 22 schwarz-weiße Tabellen 59 schwarz-weiße Abbildungen Bibliographie
  • Format: Pocket/Paperback
  • ISBN: 9783540347767
  • Språk: Engelska
  • Antal sidor: 413
  • Utgivningsdatum: 2006-08-01
  • Förlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. K