Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7685
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dc.contributor.authorWang Zhenyuanen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorWang Jiaen_US
dc.date.accessioned2023-03-30T04:40:45Z-
dc.date.available2023-03-30T04:40:45Z-
dc.date.issued1997-
dc.identifier.citationAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPS, 1997, pp. 195 - 198en_US
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7685-
dc.description.abstractRegarding the Choquet integral as a multi-input single-output system, we can use a set of input-output data to determine the belief measure or plausibility measure for the Choquet integral concerned. The least square method and a genetic algorithm are applied for this purpose.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofAnnual Conference of the North American Fuzzy Information Processing Society - NAFIPSen_US
dc.titleGenetic algorithms used for determining belief measures and plausibility measuresen_US
dc.typeConference Proceedingsen_US
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
Appears in Collections:Applied Data Science - Publication
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