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Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory (Paperback, Softcover reprint of hardcover 1st ed. 1992)
Loot Price: R8,775
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Intelligent Decision Support - Handbook of Applications and Advances of the Rough Sets Theory (Paperback, Softcover reprint of hardcover 1st ed. 1992)
Series: Theory and Decision Library D:, 11
Expected to ship within 10 - 15 working days
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Intelligent decision support is based on human knowledge related to
a specific part of a real or abstract world. When the knowledge is
gained by experience, it is induced from empirical data. The data
structure, called an information system, is a record of objects
described by a set of attributes. Knowledge is understood here as
an ability to classify objects. Objects being in the same class are
indiscernible by means of attributes and form elementary building
blocks (granules, atoms). In particular, the granularity of
knowledge causes that some notions cannot be expressed precisely
within available knowledge and can be defined only vaguely. In the
rough sets theory created by Z. Pawlak each imprecise concept is
replaced by a pair of precise concepts called its lower and upper
approximation. These approximations are fundamental tools and
reasoning about knowledge. The rough sets philosophy turned out to
be a very effective, new tool with many successful real-life
applications to its credit. It is worthwhile stressing that no
auxiliary assumptions are needed about data, like probability or
membership function values, which is its great advantage. The
present book reveals a wide spectrum of applications of the rough
set concept, giving the reader the flavor of, and insight into, the
methodology of the newly developed disciplines. Although the book
emphasizes applications, comparison with other related methods and
further developments receive due attention.
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