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Books > Computing & IT > Applications of computing > Artificial intelligence
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Software Engineering with Computational Intelligence (Paperback, Softcover reprint of hardcover 1st ed. 2003)
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Software Engineering with Computational Intelligence (Paperback, Softcover reprint of hardcover 1st ed. 2003)
Series: Studies in Fuzziness and Soft Computing, 121
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It is not an exaggeration to view Professor Lee's book," Software
Engineer ing with Computational Intelligence," or SECI for short,
as a pioneering contribution to software engineering. Breaking with
the tradition of treat ing uncertainty, imprecision, fuzziness and
vagueness as issues of peripheral importance, SECI moves them much
closer to the center of the stage. It is ob vious, though still not
widely accepted, that this is where these issues should be, since
the real world is much too complex and much too ill-defined to lend
itself to categorical analysis in the Cartesian spirit. As its
title suggests, SECI employs the machineries of computational intel
ligence (CI) and, more or less equivalently, soft computing (SC),
to deal with the foundations and principal issues in software
engineering. Basically, CI and SC are consortia of methodologies
which collectively provide a body of con cepts and techniques for
conception, design, construction and utilization of intelligent
systems. The principal constituents of CI and SC are fuzzy logic,
neurocomputing, evolutionary computing, probabilistic computing,
chaotic computing and machine learning. The leitmotif of CI and SC
is that, in general, better performance can be achieved by
employing the constituent methodologies of CI and SC in combination
rat her than in a stand-alone mode. In what follows, I will take
the liberty of focusing my attention on fuzzy logic and fuzzy set
theory, and on their roles in software engineering. But first, a
couple of points of semantics which are in need of clarification."
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