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<bibitem type="K">   <ARLID>0490891</ARLID> <utime>20240111141003.4</utime><mtime>20180709235959.9</mtime>              <title language="eng" primary="1">Comparison of Shenoy’s Expectation Operator with Probabilistic Transforms and Perez’ Barycenter</title>  <specification> <page_count>9 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0490306</ARLID><ISBN>978-80-7378-361-7</ISBN><title>Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18)</title><part_num/><part_title/><page_num>87-95</page_num><publisher><place>Praha</place><name>MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University</name><year>2018</year></publisher><editor><name1>Kratochvíl</name1><name2>Václav</name2></editor><editor><name1>Vejnarová</name1><name2>Jiřina</name2></editor></serial>    <keyword>expected utility</keyword>   <keyword>Dempster-Shafer theory</keyword>   <keyword>Shenoy's operator</keyword>    <author primary="1"> <ARLID>cav_un_auth*0207975</ARLID> <name1>Jiroušek</name1> <name2>R.</name2> <country>CZ</country> </author> <author primary="0"> <ARLID>cav_un_auth*0216188</ARLID> <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>  <share>50</share> <name1>Kratochvíl</name1> <name2>Václav</name2> <institution>UTIA-B</institution> <country>CZ</country> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <source_type>PDF</source_type> <url>http://library.utia.cas.cz/separaty/2018/MTR/jirousek-0490891.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0356801</ARLID> <project_id>MOST-18-04</project_id> <agency>AV ČR</agency> <country>CZ</country> <country>TW</country> </project> <project> <project_id>GA16-12010S</project_id> <agency>GA ČR</agency> <country>CZ</country> <ARLID>cav_un_auth*0332303</ARLID> </project>  <abstract language="eng" primary="1">Shenoy’s paper published in this Proceedings of WUPES 2018 introduces an operator that gives instructions how to compute an expected value in the Dempster-Shafer theory of evidence. Up to now, there was no direct way to get the expected value of a utility function in D-S theory. If eeded, one had to find a probability mass function corresponding to the considered belief function, and then - using this probability mass function - to compute the classical probabilistic expectation. In this paper, we take four different approaches to defining probabilistic representatives of a belief function and compare which one yields to the best approximations of Shenoy’s expected values of various utility functions. The achieved results support our conjecture that there does not exist a probabilistic representative of a belief function that would yield the same expectations as the Shenoy’s new operator.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0361637</ARLID> <name>Workshop on Uncertainty Processing (WUPES’18)</name> <dates>20180606</dates> <unknown tag="mrcbC20-s">20180609</unknown> <place>Třeboň</place> <country>CZ</country>  </action>  <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10101</FORD2>    <reportyear>2019</reportyear>      <num_of_auth>2</num_of_auth>  <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0285277</permalink>   <confidential>S</confidential>  <article_num> 8 </article_num>       <arlyear>2018</arlyear>       <unknown tag="mrcbU56"> PDF </unknown> <unknown tag="mrcbU63"> cav_un_epca*0490306 Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18) MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University 2018 Praha 87 95 978-80-7378-361-7 </unknown> <unknown tag="mrcbU67"> 340 Kratochvíl Václav </unknown> <unknown tag="mrcbU67"> 340 Vejnarová Jiřina </unknown> </cas_special> </bibitem>