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<bibitem type="J">   <ARLID>0427068</ARLID> <utime>20240103204113.3</utime><mtime>20140411235959.9</mtime>   <WOS>000327170400002</WOS> <SCOPUS>84886726600</SCOPUS>  <DOI>10.1016/j.fss.2013.08.006</DOI>           <title language="eng" primary="1">On interpretation of T-product extensions of possibility distributions</title>  <specification> <page_count>15 s.</page_count> <media_type>P</media_type> </specification>   <serial><ARLID>cav_un_epca*0256642</ARLID><ISSN>0165-0114</ISSN><title>Fuzzy Sets and Systems</title><part_num/><part_title/><volume_id>232</volume_id><volume>1 (2013)</volume><page_num>3-17</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>Possibility theory</keyword>   <keyword>Extension</keyword>   <keyword>Triangular norm</keyword>   <keyword>Conditional independence</keyword>   <keyword>Sets of probability distributions</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/2014/MTR/vejnarova-0427068.pdf</url> </source>        <cas_special> <project> <project_id>GAP402/11/0378</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0273630</ARLID> </project>  <abstract language="eng" primary="1">T-product extensions(where T is a continuoust-norm) of a system of low-dimensional possibility distributions form an important class of solutions of the so-called possibilistic marginal problem. Nevertheless, they can differ from each other, e.g., from the viewpoint of inference. Therefore the need for their interpretation is obvious.To find it, we identify any possibility distribution with a set of probability distributions dominated by it and find a probability interpretation of models based on Gödel’s, product and  Lukasiewicz’s t-norms.</abstract>     <reportyear>2015</reportyear>  <RIV>BA</RIV>      <num_of_auth>1</num_of_auth>  <unknown tag="mrcbC52"> 4 A 4a 20231122140147.9 </unknown> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0233077</permalink>   <confidential>S</confidential>          <unknown tag="mrcbT16-e">COMPUTERSCIENCETHEORYMETHODS|MATHEMATICSAPPLIED|STATISTICSPROBABILITY</unknown> <unknown tag="mrcbT16-f">2.263</unknown> <unknown tag="mrcbT16-g">0.367</unknown> <unknown tag="mrcbT16-h">&gt;10.0</unknown> <unknown tag="mrcbT16-i">0.01034</unknown> <unknown tag="mrcbT16-j">0.64</unknown> <unknown tag="mrcbT16-k">11823</unknown> <unknown tag="mrcbT16-l">177</unknown> <unknown tag="mrcbT16-s">1.342</unknown> <unknown tag="mrcbT16-z">ScienceCitationIndex</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-B">51.18</unknown> <unknown tag="mrcbT16-C">88.563</unknown> <unknown tag="mrcbT16-D">Q2</unknown> <unknown tag="mrcbT16-E">Q1*</unknown> <arlyear>2013</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: vejnarova-0427068.pdf </unknown>    <unknown tag="mrcbU14"> 84886726600 SCOPUS </unknown> <unknown tag="mrcbU34"> 000327170400002 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0256642 Fuzzy Sets and Systems 0165-0114 1872-6801 Roč. 232 č. 1 2013 3 17 Elsevier </unknown> </cas_special> </bibitem>