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ANNALES Universitatis Scientiarum Budapestinensis de Rolando Eötvös Nominatae
Sectio Computatorica

Volumes » Volume 35 (2011)

https://doi.org/10.71352/ac.35.239

Symmetric deviations and distance measures

Wolfgang Sander

Abstract. In this paper we characterize measurable information measures depending upon two probability distributions in a unified manner to get most of the existing information measures. Moreover it turns out that our characterization contains new, unexpected information measures.

Key words and phrases. Information measures, open domain, sum form, weighted additivity, polynomially additivity.

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