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<bibitem type="J">   <ARLID>0573509</ARLID> <utime>20240402214138.4</utime><mtime>20230712235959.9</mtime>   <SCOPUS>85165538154</SCOPUS> <WOS>001048425800001</WOS>  <DOI>10.1016/j.ijar.2023.108976</DOI>           <title language="eng" primary="1">On conditional belief functions in directed graphical models in the Dempster-Shafer theory</title>  <specification> <page_count>15 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0256774</ARLID><ISSN>0888-613X</ISSN><title>International Journal of Approximate Reasoning</title><part_num/><part_title/><volume_id>160</volume_id><volume/><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>Dempster-Shafer theory of belief functions</keyword>   <keyword>Conditional belief functions</keyword>   <keyword>Smets' conditional embedding</keyword>   <keyword>Belief-function directed graphical models</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101118</ARLID> <name1>Jiroušek</name1> <name2>Radim</name2> <institution>UTIA-B</institution> <full_dept language="cz">Matematická teorie rozhodování</full_dept> <full_dept language="eng">Department of Decision Making Theory</full_dept> <department language="cz">MTR</department> <department language="eng">MTR</department> <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*0216188</ARLID> <name1>Kratochvíl</name1> <name2>Václav</name2> <institution>UTIA-B</institution> <full_dept language="cz">Matematická teorie rozhodování</full_dept> <full_dept>Department of Decision Making Theory</full_dept> <department language="cz">MTR</department> <department>MTR</department> <full_dept>Department of Decision Making Theory</full_dept> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0275452</ARLID> <name1>Shenoy</name1> <name2>P. P.</name2> <country>US</country> </author>   <source> <url>http://library.utia.cas.cz/separaty/2023/MTR/jirousek-0573509.pdf</url> </source> <source> <url>https://www.sciencedirect.com/science/article/pii/S0888613X2300107X?via%3Dihub</url>  </source>        <cas_special> <project> <project_id>GA21-07494S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0430801</ARLID> </project>  <abstract language="eng" primary="1">The primary goal is to define conditional belief functions in the Dempster-Shafer theory. We do so similarly to probability theory's notion of conditional probability tables. Conditional belief functions are necessary for constructing directed graphical belief function models in the same sense as conditional probability tables are necessary for constructing Bayesian networks. We provide examples of conditional belief functions, including those obtained by Smets' conditional embedding. Besides defining conditional belief functions, we state and prove a few basic properties of conditionals. In the belief-function literature, conditionals are defined starting from a joint belief function. Conditionals are then defined using the removal operator, an inverse of Dempster's combination operator. When such conditionals are well-defined belief functions, we show that our definition is equivalent to these definitions.</abstract>     <result_subspec>WOS</result_subspec> <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10102</FORD2>    <reportyear>2024</reportyear>      <num_of_auth>3</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0344419</permalink>   <confidential>S</confidential>  <article_num> 108976 </article_num> <unknown tag="mrcbC86"> Article Computer Science Artificial Intelligence </unknown> <unknown tag="mrcbC91"> A </unknown>         <unknown tag="mrcbT16-e">COMPUTERSCIENCE.ARTIFICIALINTELLIGENCE</unknown> <unknown tag="mrcbT16-f">3.2</unknown> <unknown tag="mrcbT16-g">0.7</unknown> <unknown tag="mrcbT16-h">6.3</unknown> <unknown tag="mrcbT16-i">0.00458</unknown> <unknown tag="mrcbT16-j">0.75</unknown> <unknown tag="mrcbT16-k">5066</unknown> <unknown tag="mrcbT16-q">116</unknown> <unknown tag="mrcbT16-s">0.877</unknown> <unknown tag="mrcbT16-y">47.31</unknown> <unknown tag="mrcbT16-x">3.74</unknown> <unknown tag="mrcbT16-3">1655</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-5">2.600</unknown> <unknown tag="mrcbT16-6">155</unknown> <unknown tag="mrcbT16-7">Q2</unknown> <unknown tag="mrcbT16-C">57.6</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q2</unknown> <unknown tag="mrcbT16-M">1.02</unknown> <unknown tag="mrcbT16-N">Q2</unknown> <unknown tag="mrcbT16-P">57.6</unknown> <arlyear>2023</arlyear>       <unknown tag="mrcbU14"> 85165538154 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 001048425800001 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0256774 International Journal of Approximate Reasoning 160 1 2023 0888-613X 1873-4731 Elsevier </unknown> </cas_special> </bibitem>