<?xml version="1.0" encoding="utf-8"?>
<?xml-stylesheet type="text/xsl" href="style/detail_T.xsl"?>
<bibitem type="M">   <ARLID>0410802</ARLID> <utime>20240103182240.2</utime><mtime>20060210235959.9</mtime>    <ISBN>3-7908-1451-2</ISBN>         <title language="eng" primary="1">Possibilistic belief network constructed by operators of composition and its application to financial analysis</title>  <publisher> <place>Heidelberg</place> <name>Physica Verlag</name> <pub_time>2002</pub_time> </publisher> <specification> <page_count>29 s.</page_count> </specification> <edition> <name>Studies in Fuzziness and Soft Computing.</name> </edition>   <serial><title>Belief Functions in Business Decisions</title><part_num/><part_title/><page_num>252-280</page_num><editor><name1>Srivastava</name1><name2>R. P.</name2></editor><editor><name1>Mock</name1><name2>T. J.</name2></editor></serial>    <keyword>possibility theory</keyword>   <keyword>multidimensional models</keyword>   <keyword>applications</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> <author primary="0"> <ARLID>cav_un_auth*0101223</ARLID> <name1>Vejnarová</name1> <name2>Jiřina</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> <author primary="0"> <ARLID>cav_un_auth*0212897</ARLID> <name1>Gemela</name1> <name2>J.</name2> <country>CZ</country>  </author>     <COSATI>12A</COSATI>    <cas_special> <project> <project_id>GA201/98/1487</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0005923</ARLID> </project> <project> <project_id>VS96008</project_id> <agency>GA MŠk</agency> <ARLID>cav_un_auth*0025049</ARLID> </project> <research> <research_id>CEZ:AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">The main part of the paper describes a new way how to define possibilistic belief networks as a sequence of low-dimensonal distributions connected by operators of composition. To make this nonstandard technique better comprehensible, it introduces an extended motivation part explaining the basic notions on a simple (probabilistic) example. The paper is concluded by a lucid example of application of the apparatus for fundamental analysis of engineering enterprices.</abstract>      <RIV>BA</RIV>   <department>MTR</department>    <permalink>http://hdl.handle.net/11104/0130889</permalink>   <ID_orig>UTIA-B 20020016</ID_orig>     <arlyear>2002</arlyear>       <unknown tag="mrcbU10"> 2002 </unknown> <unknown tag="mrcbU10"> Heidelberg Physica Verlag </unknown> <unknown tag="mrcbU12"> 3-7908-1451-2 </unknown> <unknown tag="mrcbU63"> Belief Functions in Business Decisions 252 280 </unknown> <unknown tag="mrcbU67"> Srivastava R. P. 340 </unknown> <unknown tag="mrcbU67"> Mock T. J. 340 </unknown> </cas_special> </bibitem>