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Grabisch, Michel; Nguyen, Hung T.; Walker, E. A. - Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference - 9780792331759 - V9780792331759
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Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference

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Description for Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference hardcover. This text provides a background for uncertainty calculi, with an emphasis on fuzziness. The approach to modelling knowledge expressed in natural language is based upon the mathematical theory of uncertainty related to the fuzzy measures and integrals and their applications. Series: Theory and Decision Library B. Num Pages: 350 pages, biography. BIC Classification: KJMD. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 20. Weight in Grams: 686.
With the vision that machines can be rendered smarter, we have witnessed for more than a decade tremendous engineering efforts to implement intelligent sys­ tems. These attempts involve emulating human reasoning, and researchers have tried to model such reasoning from various points of view. But we know precious little about human reasoning processes, learning mechanisms and the like, and in particular about reasoning with limited, imprecise knowledge. In a sense, intelligent systems are machines which use the most general form of human knowledge together with human reasoning capability to reach decisions. Thus the general problem of reasoning with knowledge is ... Read more

Product Details

Format
Hardback
Publication date
1994
Publisher
Springer United States
Number of pages
350
Condition
New
Series
Theory and Decision Library B
Number of Pages
350
Place of Publication
Dordrecht, Netherlands
ISBN
9780792331759
SKU
V9780792331759
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
`It provides the foundations of uncertainty calculus that enables one to complement conventional system theory. ... I can highly recommend the book to those interested in the new developments in this interesting area and who are not afraid of some mathematics.' International Journal of Electrical Engineering Education, 33:3 (1996)

Goodreads reviews for Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference


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