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<bibitem type="J">   <ARLID>0599050</ARLID> <utime>20241021111203.7</utime><mtime>20241007235959.9</mtime>   <SCOPUS>85181143323</SCOPUS> <WOS>001165967000001</WOS>  <DOI>10.1016/j.fss.2023.108841</DOI>           <title language="eng" primary="1">Convex weak concordance measures and their constructions</title>  <specification> <page_count>24 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>478</volume_id><volume/><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>Concordance measure</keyword>   <keyword>Convex concordance measure</keyword>   <keyword>Convex weak concordance measure</keyword>   <keyword>Copula</keyword>   <keyword>Random vector</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101163</ARLID> <name1>Mesiar</name1> <name2>Radko</name2> <institution>UTIA-B</institution> <full_dept language="cz">Ekonometrie</full_dept> <full_dept language="eng">Department of Econometrics</full_dept> <department language="cz">E</department> <department language="eng">E</department> <full_dept>Department of Econometrics</full_dept>  <share>40</share> <garant>A</garant> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0212843</ARLID> <name1>Kolesárová</name1> <name2>A.</name2> <country>SK</country>  <share>20</share> </author> <author primary="0"> <ARLID>cav_un_auth*0436913</ARLID> <name1>Sheikhi</name1> <name2>A.</name2> <country>IR</country>  <share>20</share> </author> <author primary="0"> <ARLID>cav_un_auth*0473808</ARLID> <name1>Shvydka</name1> <name2>S.</name2> <country>SK</country>  <share>20</share> </author>   <source> <url>https://library.utia.cas.cz/separaty/2024/E/mesiar-0599050.pdf</url> </source> <source> <url>https://www.sciencedirect.com/science/article/pii/S0165011423004864?via%3Dihub</url>  </source>        <cas_special>  <abstract language="eng" primary="1">Considering the framework of weak concordance measures introduced by Liebscher in 2014, we propose and study convex weak concordance measures. This class of dependence measures contains as a proper subclass the class of all convex concordance measures, introduced and studied by Mesiar et al. in 2022, and thus it also covers the well-known concordance measures as Spearman's ρ, Gini's γ and Blomqvist's β. The class of all convex weak concordance measures also contains, for example, Spearman's footrule ϕ, which is not a concordance measure. In this paper, we first introduce basic convex weak concordance measures built in general by means of a single point (u,v)∈▽={(u,v)∈]0,1[2|u≥v} and its transpose (v,u) only. Then, based on basic convex weak concordance measures and probability measures on the Borel subsets of ▽, two rather general constructions of convex weak concordance measures are proposed, discussed and exemplified. Inspired by Edwards et al., probability measures-based constructions are generalized to Borel measures on B(]0,1[2)-based constructions also allowing some infinite measures to be considered. Finally, it is shown that the presented constructions also cover the mentioned standard (convex weak) concordance measures ρ, γ, β, ϕ and provide alternative formulas for them.</abstract>     <result_subspec>WOS</result_subspec> <RIV>BA</RIV> <FORD0>10000</FORD0> <FORD1>10100</FORD1> <FORD2>10103</FORD2>    <reportyear>2025</reportyear>      <num_of_auth>4</num_of_auth>  <inst_support> RVO:67985556 </inst_support>  <permalink>https://hdl.handle.net/11104/0357045</permalink>   <confidential>S</confidential>  <article_num> 108841 </article_num> <unknown tag="mrcbC91"> C </unknown>         <unknown tag="mrcbT16-e">MATHEMATICS.APPLIED|STATISTICS&amp;PROBABILITY|COMPUTERSCIENCE.THEORY&amp;METHODS</unknown> <unknown tag="mrcbT16-f">2.6</unknown> <unknown tag="mrcbT16-g">0.9</unknown> <unknown tag="mrcbT16-h">19.7</unknown> <unknown tag="mrcbT16-i">0.0062</unknown> <unknown tag="mrcbT16-j">0.613</unknown> <unknown tag="mrcbT16-k">14846</unknown> <unknown tag="mrcbT16-q">191</unknown> <unknown tag="mrcbT16-s">0.754</unknown> <unknown tag="mrcbT16-y">37.34</unknown> <unknown tag="mrcbT16-x">2.7</unknown> <unknown tag="mrcbT16-3">2335</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-5">2.200</unknown> <unknown tag="mrcbT16-6">229</unknown> <unknown tag="mrcbT16-7">Q1</unknown> <unknown tag="mrcbT16-C">82</unknown> <unknown tag="mrcbT16-M">1.43</unknown> <unknown tag="mrcbT16-N">Q1</unknown> <unknown tag="mrcbT16-P">91.4</unknown> <arlyear>2024</arlyear>       <unknown tag="mrcbU14"> 85181143323 SCOPUS </unknown> <unknown tag="mrcbU24"> PUBMED </unknown> <unknown tag="mrcbU34"> 001165967000001 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0256642 Fuzzy Sets and Systems Roč. 478 č. 1 2024 0165-0114 1872-6801 Elsevier </unknown> </cas_special> </bibitem>