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Books > Computing & IT > Applications of computing > Artificial intelligence
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Soft Methods for Integrated Uncertainty Modelling (Paperback, 2006 ed.)
Loot Price: R4,610
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Soft Methods for Integrated Uncertainty Modelling (Paperback, 2006 ed.)
Series: Advances in Intelligent and Soft Computing, 37
Expected to ship within 10 - 15 working days
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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.
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