
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Kluwer Academic Publishers
Published on 30. November 1994
Book
Hardback
XII, 350 pages
978-0-7923-3175-9 (ISBN)
Description
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 the core of design methodology. The attempt to use human knowledge in its most natural sense, that is, through linguistic descriptions, is novel and controversial. The novelty lies in the recognition of a new type of un certainty, namely fuzziness in natural language, and the controversality lies in the mathematical modeling process. As R. Bellman [7] once said, decision making under uncertainty is one of the attributes of human intelligence. When uncertainty is understood as the impossi bility to predict occurrences of events, the context is familiar to statisticians. As such, efforts to use probability theory as an essential tool for building intelligent systems have been pursued (Pearl [203], Neapolitan [182)). The methodology seems alright if the uncertain knowledge in a given problem can be modeled as probability measures.
Reviews / Votes
` 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)
More details
Series
Edition
1995 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
XII, 350 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 25 mm
Weight
711 gr
ISBN-13
978-0-7923-3175-9 (9780792331759)
DOI
10.1007/978-94-015-8449-4
Schweitzer Classification
Other editions
Additional editions

Michel Grabisch | Hung T. Nguyen | E.A. Walker
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
E-Book
04/2013
Springer
€149.79
Available for download

Michel Grabisch | Hung T. Nguyen | E.A. Walker
Fundamentals of Uncertainty Calculi with Applications to Fuzzy Inference
Book
12/2010
Springer
€160.49
Shipment within 15-20 days
Content
1 Introduction.- 2 Modeling Uncertainty.- 3 Capacities and the Choquet Functional.- 4 Information Measures.- 5 Calculus of Fuzzy Concepts.- 6 Fuzzy Measures and Integrals.- 7 Decision Making.- 8 Subjective Multicriteria Evaluation.- 9 Pattern Recognition and Computer Vision.- 10 Identification and Interpretation of Fuzzy Measures.