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<bibitem type="J">   <ARLID>0507259</ARLID> <utime>20240903170643.0</utime><mtime>20190805235959.9</mtime>   <SCOPUS>84940045199</SCOPUS> <WOS>000361266300006</WOS>  <DOI>10.14736/kyb-2015-3-0457</DOI>           <title language="eng" primary="1">On decision-making in possibility theory</title>  <specification> <page_count>12 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0297163</ARLID><ISSN>0023-5954</ISSN><title>Kybernetika</title><part_num/><part_title/><volume_id>51</volume_id><volume>3 (2015)</volume><page_num>457-468</page_num><publisher><place/><name>Ústav teorie informace a automatizace AV ČR, v. v. i.</name><year/></publisher></serial>    <keyword>possibility measures and distributions</keyword>   <keyword>upper envelopes of probability distributions</keyword>   <keyword>decision functions</keyword>   <keyword>minimax principle</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101223</ARLID> <name1>Vejnarová</name1> <name2>Jiřina</name2> <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> <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>   <source> <url>http://library.utia.cas.cz/separaty/2019/MTR/vejnarova-0507259.pdf</url> </source> <source> <url>http://www.kybernetika.cz/content/2015/3/457</url>  </source>        <cas_special> <project> <ARLID>cav_un_auth*0292670</ARLID> <project_id>GA13-20012S</project_id> <agency>GA ČR</agency> </project>  <abstract language="eng" primary="1">We present an alternative approach to decision-making in the framework of possibility theory, based on the idea of decision-making under uncertainty. We utilize the fact, that any possibility distribution can be viewed as an upper envelope of a setof probability distributions to which well-known minimax principle is applicable. Finally, we recall also an alternative to the minimax rule, so-called local minimax principle. Local minimax principle not only allows sequential construction of decision function, but also appears to play an important role exactly in the framework of possibility theory due to its sensitivity. Furthermore, the optimality of a decision function is easily verifiable. </abstract>     <result_subspec>WOS</result_subspec> <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10101</FORD2>    <reportyear>2020</reportyear>      <num_of_auth>1</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0298573</permalink>   <confidential>S</confidential>  <unknown tag="mrcbC91"> A </unknown>         <unknown tag="mrcbT16-e">COMPUTERSCIENCE.CYBERNETICS</unknown> <unknown tag="mrcbT16-f">0.578</unknown> <unknown tag="mrcbT16-g">0.031</unknown> <unknown tag="mrcbT16-h">999.9</unknown> <unknown tag="mrcbT16-i">0.00152</unknown> <unknown tag="mrcbT16-j">0.305</unknown> <unknown tag="mrcbT16-k">678</unknown> <unknown tag="mrcbT16-s">0.321</unknown> <unknown tag="mrcbT16-4">Q2</unknown> <unknown tag="mrcbT16-5">0.438</unknown> <unknown tag="mrcbT16-6">64</unknown> <unknown tag="mrcbT16-7">Q4</unknown> <unknown tag="mrcbT16-B">30.893</unknown> <unknown tag="mrcbT16-C">11.4</unknown> <unknown tag="mrcbT16-D">Q3</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <unknown tag="mrcbT16-P">11.364</unknown> <arlyear>2015</arlyear>       <unknown tag="mrcbU14"> 84940045199 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 000361266300006 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 51 č. 3 2015 457 468 Ústav teorie informace a automatizace AV ČR, v. v. i. </unknown> </cas_special> </bibitem>