Mathematics of Uncertainty
Publication year: 2006
ISBN: 978-3-540-31228-4
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Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to wavelets, from error propagation to fuzzy sets and neural networks. The book presents the treatment of problems of interpolation and approximation, as well as observation fuzziness which can essentially influence the preciseness and reliability of statements on functional relationships.
Subject: Engineering, Fuzzy, Fuzzy Data Analysis, Modelling Uncertainty, Regression, Regression Theory, Regression analysis, Wavelet, calculus, classification, cluster analysis, data analysis, fuzzy set, model, uncertainty
