bibtype	J - Journal Article
ARLID	0106195
utime	20240103173123.9
mtime	20050511235959.9
title (primary) (eng)	On application of Choquet integral in possibilistic information theory
specification	page_count 8 s.
serial	ARLID cav_un_epca*0290321 ISSN 1210-0552 title Neural Network World volume_id 13 volume 5 (2003) page_num 541-548 publisher name Ústav informatiky AV ČR, v. v. i.
title (cze)	O aplikaci Choquetova integrálu pro possibilistické míry informace
keyword	possibility theory
keyword	information theory
keyword	Choquet integral
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	research CEZ:AV0Z1075907 abstract (eng) Possibilistic T-independence concept is further analyzed with respect to its information-theoretic properties. The main result is then the introduction of a so called general measure of T-dependence. It is further proven that the general measure of T-dependence exhibits significant properties from an information-theoretic point of view and can be conceived as an aptanalogy of the well-known probabilistic mutual information. abstract (cze) Pojetí nezávisloti v teorii possibility je zkoumáno z hledisek teorie informace. Je zaveden pojem obecné míry nezávislosti a je ukázáno, že tato veličina je vhodným zobecněním míry vzájemné informace známé z klasické teorie informace reportyear 2005 RIV BD permalink http://hdl.handle.net/11104/0000213 ID_orig UTIA-B 20040005 arlyear 2003 mrcbU63 cav_un_epca*0290321 Neural Network World 1210-0552 Roč. 13 č. 5 2003 541 548 Ústav informatiky AV ČR, v. v. i.