Possibilistic Testing of Distribution Functions for Change Detection

Article type: Research Article

Authors: Wolkenhauer, Olaf^{; *} | Edmunds, John M.

Affiliations: Control Systems Centre, UMIST Manchester M60 1QD, UK

Correspondence: [*] Corresponding author. E-mail: olaf@csc.urnist.ac.uk, URL: http://isabel.csc.umist.ac.uk/FUZZY/olaf.html.

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

DOI: 10.3233/IDA-1997-1205

Journal: Intelligent Data Analysis, vol. 1, no. 2, pp. 119-127, 1997