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<bibitem type="C">   <ARLID>0399787</ARLID> <utime>20240103203354.7</utime><mtime>20140107235959.9</mtime>   <SCOPUS>84887852131</SCOPUS> <WOS>000335342800050</WOS>  <DOI>10.1109/FUZZ-IEEE.2013.6622348</DOI>           <title language="eng" primary="1">A generalization of the Bonferroni mean based on partitions</title>  <specification> <page_count>6 s.</page_count> <media_type>E</media_type> </specification>   <serial><ARLID>cav_un_epca*0422490</ARLID><ISBN>978-1-4799-0020-6</ISBN><ISSN>1098-7584</ISSN><title>Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ 2013)</title><part_num/><part_title/><publisher><place>Piscataway</place><name>IEEE</name><year>2013</year></publisher></serial>    <keyword>Aggregation functions</keyword>   <keyword>Bonferroni mean</keyword>   <keyword>Mandatory criteria</keyword>   <keyword>Decision making</keyword>    <author primary="1"> <ARLID>cav_un_auth*0271526</ARLID>  <name1>Beliakov</name1> <name2>G.</name2> <country>AU</country> </author> <author primary="0"> <ARLID>cav_un_auth*0298831</ARLID>  <name1>James</name1> <name2>S.</name2> <country>AU</country> </author> <author primary="0"> <ARLID>cav_un_auth*0101163</ARLID> <full_dept language="cz">Ekonometrie</full_dept> <full_dept>Department of Econometrics</full_dept> <department language="cz">E</department> <department>E</department> <full_dept>Department of Econometrics</full_dept>  <name1>Mesiar</name1> <name2>Radko</name2> <institution>UTIA-B</institution> <garant>G</garant> <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2013/E/mesiar-0399787.pdf</url> </source>        <cas_special> <project> <ARLID>cav_un_auth*0273630</ARLID> <project_id>GAP402/11/0378</project_id> <agency>GA ČR</agency> </project>  <abstract language="eng" primary="1">The mean defined by Bonferroni in 1950 (known by the same name) averages all non-identical product pairs of the inputs. Its generalizations to date have been able to capture unique behavior that may be desired in some decision-making contexts such as the ability to model mandatory requirements. In this paper, we propose a composition that averages conjunctions between the respective means of a designated subset-size partition. We investigate the behavior of such a function and note the relationship within a given family as the subset size is changed. We found that the proposed function is able to more intuitively handle multiple mandatory requirements or mandatory input sets.</abstract>    <action target="WRD"> <ARLID>cav_un_auth*0297061</ARLID> <name>2013 IEEE International Conference on Fuzzy Systems</name>  <dates>07.07.2013-10.07.2013</dates> <place>Hyderabad</place> <country>IN</country>  </action>  <RIV>BA</RIV>    <reportyear>2014</reportyear>      <num_of_auth>3</num_of_auth>  <presentation_type> PR </presentation_type> <inst_support> RVO:67985556 </inst_support>  <permalink>http://hdl.handle.net/11104/0228632</permalink>  <unknown tag="mrcbC61"> 1 </unknown>        <unknown tag="mrcbT16-q">31</unknown> <unknown tag="mrcbT16-s">0.270</unknown> <unknown tag="mrcbT16-y">20.1</unknown> <unknown tag="mrcbT16-x">0.55</unknown> <unknown tag="mrcbT16-E">Q3</unknown> <arlyear>2013</arlyear>       <unknown tag="mrcbU14"> 84887852131 SCOPUS </unknown> <unknown tag="mrcbU34"> 000335342800050 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0422490 Proceedings of the 2013 IEEE International Conference on Fuzzy Systems (FUZZ 2013) 978-1-4799-0020-6 1098-7584 Piscataway IEEE 2013 </unknown> </cas_special> </bibitem>