Rough Sets: Selected Methods and Applications in Management and Engineering
Language: English
Published by Springer London, 2012
Series: Book 33 of 66 - Advanced Information and Knowledge Processing
- Hardcover
- Used

Condition: Used - Fine
US$ 51.78
Quantity: 1 available
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Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets.Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.
Seller Inventory # 11724462/12
- Title
- Rough Sets: Selected Methods and Applications in Management and Engineering
- Author
- Unbekannt
- Publisher
- Springer London
- Publication year
- 2012
- Condition
- Sehr gut
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1447127595
- ISBN 13
- 9781447127598
- Series
- Book 33 of 66: Advanced Information and Knowledge Processing
- Seller catalogs
- Bücher
Rough Set Theory, introduced by Pawlak in the early 1980s, has become an important part of soft computing within the last 25 years. However, much of the focus has been on the theoretical understanding of Rough Sets, with a survey of Rough Sets and their applications within business and industry much desired. Rough Sets: Selected Methods and Applications in Management and Engineering provides context to Rough Set theory, with each chapter exploring a real-world application of Rough Sets.
Rough Sets is relevant to managers striving to improve their businesses, industry researchers looking to improve the efficiency of their solutions, and university researchers wanting to apply Rough Sets to real-world problems.
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