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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering
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Hybrid Rough Sets and Applications in Uncertain Decision-Making (Paperback)
Loot Price: R1,676
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Hybrid Rough Sets and Applications in Uncertain Decision-Making (Paperback)
Series: Systems Evaluation, Prediction, and Decision-Making
Expected to ship within 12 - 17 working days
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As a powerful approach to data reasoning, rough set theory has
proven to be invaluable in knowledge acquisition, decision analysis
and forecasting, and knowledge discovery. With the ability to
enhance the advantages of other soft technology theories, hybrid
rough set theory is quickly emerging as a method of choice for
decision making under uncertain conditions. Keeping the complicated
mathematics to a minimum, Hybrid Rough Sets and Applications in
Uncertain Decision-Making provides a systematic introduction to the
methods and application of the hybridization for rough set theory
with other related soft technology theories, including probability,
grey systems, fuzzy sets, and artificial neural networks. It also:
Addresses the variety of uncertainties that can arise in the
practical application of knowledge representation systems Unveils a
novel hybrid model of probability and rough sets Introduces grey
variable precision rough set models Analyzes the advantages and
disadvantages of various practical applications The authors examine
the scope of application of the rough set theory and discuss how
the combination of variable precision rough sets and dominance
relations can produce probabilistic preference rules out of
preference attribute decision tables of preference actions.
Complete with numerous cases that illustrate the specific
application of hybrid methods, the text adopts the latest
achievements in the theory, method, and application of rough sets.
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