Application of the Choquet integral to measures of information in possibility theory

Journal Article

Kroupa Tomáš

serial: International Journal of Intelligent Systems vol.21, 3 (2006), p. 349-359

research: CEZ:AV0Z10750506

project(s): GA201/02/1269GA ČR

keywords: Choquet integral, nonspecificity, information measure

abstract (eng):

Posibility measures are analyzed from the information-theoretic point of view. It is argued for the significant role of Choquet integral in this context. The main result of the paper is a representation theorem for nonspecificity of possibility distribution and a new definition of divergence for possibility measures. An application of the divergence to construction of possibilistic models is outlined.

abstract (cze):

Miry posibility jsou studovany z hlediska teorie informace. Je zduraznena dulezita role Choquetovy integrace v tomto kontextu. Hlavnim vysledkem prace je reprezentacni veta pro nespecificitu a definice divergence dvou mer posibility. V zaveru je nastinena aplikace zminenych vysledku pro konstrukci posibilistickych modelu.

Cosati: 120

RIV: BD