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Item Details
Title:
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HYBRID ROUGH SETS AND APPLICATIONS IN UNCERTAIN DECISION-MAKING
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By: |
Lirong Jian, Sifeng Liu, Yi Lin |
Format: |
Hardback |
List price:
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£150.00 |
Our price: |
£135.00 |
Discount: |
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You save:
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£15.00 |
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ISBN 10: |
1420087487 |
ISBN 13: |
9781420087482 |
Availability: |
Usually dispatched within 1-3 weeks.
Delivery
rates
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Stock: |
Currently 0 available |
Publisher: |
TAYLOR & FRANCIS LTD |
Series: |
Systems Evaluation, Prediction, and Decision-Making |
Pages: |
284 |
Description: |
By analyzing the advantages and disadvantages of practical applications and the scope of application of the rough set theory as well as a variety of uncertainties in the practical application of knowledge representation systems, this book introduces the hybrid methods and applications of rough set theory and other related soft technology theories. |
Synopsis: |
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. |
Illustrations: |
43 black & white illustrations, 79 black & white tables |
Publication: |
UK |
Imprint: |
Auerbach Publishers Inc. |
Returns: |
Returnable |
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