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Fuzzy Data Analysis (Theory and Decision Library B)
Bandemer, Hans, Näther, Wolfgang
€ 192.41
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Description for Fuzzy Data Analysis (Theory and Decision Library B)
Hardcover. Fuzzy data such as marks, scores, verbal evaluations, imprecise observations and experts' opinions are common. This book aims to provide approaches and methods for processing such data when looking for sub-structures in knowledge bases for an evaluation of functional relationship. Series: Theory and Decision Library B. Num Pages: 343 pages, biography. BIC Classification: PBWX. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 169 x 27. Weight in Grams: 658. Series: Theory and Decision Library B. 355 pages, 1, black & white illustrations. Fuzzy data such as marks, scores, verbal evaluations, imprecise observations and experts' opinions are common. This book aims to provide approaches and methods for processing such data when looking for sub-structures in knowledge bases for an evaluation of functional relationship. Cateogry: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. BIC Classification: PBWX. Dimension: 241 x 169 x 27. Weight: 658.
Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and grey tone pictures, are quite common. In Fuzzy Data Analysis the authors collect their recent results providing the reader with ideas, approaches and methods for processing such data when looking for sub-structures in knowledge bases for an evaluation of functional relationship, e.g. in order to specify diagnostic or control systems. The modelling presented uses ideas from fuzzy set theory and the suggested methods solve problems usually tackled by data analysis if the data are real numbers.
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Fuzzy data such as marks, scores, verbal evaluations, imprecise observations, experts' opinions and grey tone pictures, are quite common. In Fuzzy Data Analysis the authors collect their recent results providing the reader with ideas, approaches and methods for processing such data when looking for sub-structures in knowledge bases for an evaluation of functional relationship, e.g. in order to specify diagnostic or control systems. The modelling presented uses ideas from fuzzy set theory and the suggested methods solve problems usually tackled by data analysis if the data are real numbers.
... Read more
Product Details
Format
Hardback
Publication date
1992
Publisher
Springer
Number of pages
355
Condition
New
Series
Theory and Decision Library B
Number of Pages
343
Place of Publication
Dordrecht, Netherlands
ISBN
9780792317722
SKU
V9780792317722
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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