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Intelligent Data Analysis
Volume 1, Issues 1-4, 1997, Pages 119-127
 
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doi:10.1016/S1088-467X(97)00005-X    How to Cite or Link Using DOI (Opens New Window)
Copyright © 1997 Published by Elsevier Inc.

Possibilistic testing of distribution functions for change detection

Olaf WolkenhauerCorresponding Author Contact Information, E-mail The Corresponding Author and John M. Edmunds

Control Systems Centre, UMIST Manchester M60 1QD, UK

Received 27 August 1996; 
revised 31 October 1996; 
accepted 19 November 1996. 
Available online 24 July 2000.

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Abstract

Change detection algorithms are proposed that are based on the comparison of distribution functions. Estimated values of distributions are associated with a binomial distribution that is used to define fuzzy similarity classes. Fuzzy concepts are used to combine partial evaluations to a measure that indicates the departure of a signal from its reference.

Keywords: Change detection; Density estimation; Binomial distribution; Possibility theory


 
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