Jian, L: Hybrid Rough Sets and Applications in Uncertain Dec
Lirong Jian (Nanjing University of Aeronautics & Astronautics, China)|Sifeng Liu (Nanjing University of Aeronautics & Astronautics, China)|Yi Lin (Slippery Rock University, Pennsylvania, USA)
Language: English
Published by CRC Press, 2018
Series: Book 3 of 13 - Systems Evaluation, Prediction, and Decision-Making
- Softcover
- New
Condition: New
£ 57.84
Quantity: Over 20 available
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Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Lirong Jian received her PhD in management science and engineering from Southeast University, Nanjing, China, in 2004. She then had two years ofpostdoctoral experience specializing in management science and engineering at Nanjing University of Aeronautics a.
Seller Inventory # 595397749
- Title
- Jian, L: Hybrid Rough Sets and Applications in Uncertain Dec
- Author
- Lirong Jian (Nanjing University of Aeronautics & Astronautics, China)|Sifeng Liu (Nanjing University of Aeronautics & Astronautics, China)|Yi Lin (Slippery Rock University, Pennsylvania, USA)
- Publisher
- CRC Press
- Publication year
- 2018
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1138372757
- ISBN 13
- 9781138372757
- Series
- Book 3 of 13: Systems Evaluation, Prediction, and Decision-Making
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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About the Author
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