This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. The new calculus has many applications, especially in automated reasoning, learning, data analysis and information fusion. This book gives a rigorous introduction to label semantics theory, illustrated with many examples, and suggests clear operational interpretations of the proposed measures. It also provides a detailed description of how the theory can be applied in data analysis and information fusion based on a range of benchmark problems.
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This volume outlines a formal representation framework for modelling and reasoning with vague concepts in Artificial Intelligence. The new calculus has many applications, especially in automated reasoning, learning, data analysis and information fusion. This book gives a rigorous introduction to label semantics theory, illustrated with many examples, and suggests clear operational interpretations of the proposed measures. It also provides a detailed description of how the theory can be applied in data analysis and information fusion based on a range of benchmark problems.
Imprint | Springer-Verlag New York |
Country of origin | United States |
Series | Studies in Computational Intelligence, 12 |
Release date | 2006 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2006 |
Authors | Jonathan Lawry |
Dimensions | 235 x 155 x 17mm (L x W x T) |
Format | Hardcover |
Pages | 246 |
Edition | 2006 ed. |
ISBN-13 | 978-0-387-29056-0 |
Barcode | 9780387290560 |
Categories | |
LSN | 0-387-29056-7 |