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<bibitem type="C">   <ARLID>0086636</ARLID> <utime>20240103184514.7</utime><mtime>20071003235959.9</mtime>         <title language="eng" primary="1">Conditional Irrelevance Relation for Belief Functions: Examples</title>  <specification> <page_count>15 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0085998</ARLID><title>Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./</title><part_num/><part_title/><page_num>54-68</page_num><publisher><place>Praha</place><name>UTIA AV ČR</name><year>2007</year></publisher><editor><name1>Kroupa</name1><name2>T.</name2></editor><editor><name1>Vejnarová</name1><name2>J.</name2></editor></serial>   <title language="cze" primary="0">Podmíněná nezávislost ve věrohodnostních funkcích: Příklady</title>    <keyword>belief function</keyword>   <keyword>conditional irrelevance</keyword>   <keyword>operator of composition</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101118</ARLID> <name1>Jiroušek</name1> <name2>Radim</name2> <institution>UTIA-B</institution> <full_dept>Department of Decision Making Theory</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>        <cas_special> <project> <project_id>1M0572</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0001814</ARLID> </project> <project> <project_id>2C06019</project_id> <agency>GA MŠk</agency> <country>CZ</country> <ARLID>cav_un_auth*0216518</ARLID> </project> <project> <project_id>IAA2075302</project_id> <agency>GA AV ČR</agency> <ARLID>cav_un_auth*0001801</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">The paper presents an additional possibility how to define conditional independence relation for belief functions. The approach is based on the operator of composition originally designed for multidimensional model processing. Not to make confusion with the preceding definitions we call this relation conditional irrelevance. In the paper examples illustrating properties of this relation are presented.</abstract> <abstract language="cze" primary="0">V článku je představen další způsob jak definovat relaci podmíněné nezávislosti ve věrohodnostních funkcích. Tento přístup je založen na operátoru, který byl na vrhnut původně pouze pro multidimenzionální modely, operátoru kompozice. Abychom předešli zmatkům s předchozími definicemi, nazýváme tento vztah podmíněnou irelevancí. Vlastnosti tohoto vztahu (relace) jsou ilustrovány množstvím příkladů.</abstract>  <action target="WRD"> <ARLID>cav_un_auth*0230109</ARLID> <name>Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./</name> <place>Liblice</place> <dates>15.09.2007-18.09.2007</dates>  <country>CZ</country> </action>    <reportyear>2008</reportyear>  <RIV>BA</RIV>      <permalink>http://hdl.handle.net/11104/0148844</permalink>       <arlyear>2007</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0085998 Proceedings of Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty /10./ 54 68 Praha UTIA AV ČR 2007 </unknown> <unknown tag="mrcbU67"> Kroupa T. 340 </unknown> <unknown tag="mrcbU67"> Vejnarová J. 340 </unknown> </cas_special> </bibitem>