bibtype J - Journal Article
ARLID 0040539
utime 20240103182654.0
mtime 20060822235959.9
title (primary) (eng) Application of the Choquet integral to measures of information in possibility theory
specification
page_count 11 s.
serial
ARLID cav_un_epca*0256802
ISSN 0884-8173
title International Journal of Intelligent Systems
volume_id 21
volume 3 (2006)
page_num 349-359
publisher
name Wiley
title (cze) Aplikace Chooquetova integralu v teorii informace pro miry posibility
keyword Choquet integral
keyword nonspecificity
keyword information measure
author (primary)
ARLID cav_un_auth*0101141
name1 Kroupa
name2 Tomáš
institution UTIA-B
full_dept Department of Decision Making Theory
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
COSATI 120
cas_special
project
project_id GA201/02/1269
agency GA ČR
ARLID cav_un_auth*0005739
research CEZ:AV0Z10750506
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.
reportyear 2007
RIV BD
permalink http://hdl.handle.net/11104/0134241
arlyear 2006
mrcbU63 cav_un_epca*0256802 International Journal of Intelligent Systems 0884-8173 1098-111X Roč. 21 č. 3 2006 349 359 Wiley