{"id":"https://openalex.org/W2051598776","doi":"https://doi.org/10.1109/icif.2007.4408179","title":"Enrichment of Qualitative Beliefs for Reasoning under Uncertainty","display_name":"Enrichment of Qualitative Beliefs for Reasoning under Uncertainty","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2051598776","doi":"https://doi.org/10.1109/icif.2007.4408179","mag":"2051598776"},"language":"en","primary_location":{"id":"doi:10.1109/icif.2007.4408179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4408179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/0709.1701","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010863275","display_name":"Xinde Li","orcid":"https://orcid.org/0000-0002-1529-4537"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinde Li","raw_affiliation_strings":["Intelligent Control and Robotics Laboratory Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","Huazhong University of Science and Technology, WuHan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Control and Robotics Laboratory Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, WuHan#TAB#","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108577371","display_name":"Xinhan Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinhan Huang","raw_affiliation_strings":["Intelligent Control and Robotics Laboratory Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","Huazhong University of Science and Technology, WuHan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Control and Robotics Laboratory Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Huazhong University of Science and Technology, WuHan#TAB#","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105786297","display_name":"Jean Dezert","orcid":null},"institutions":[{"id":"https://openalex.org/I2801658355","display_name":"Office National d'\u00c9tudes et de Recherches A\u00e9rospatiales","ror":"https://ror.org/005y2ap84","country_code":"FR","type":"facility","lineage":["https://openalex.org/I2801658355"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean Dezert","raw_affiliation_strings":["ONERA, Chatillon, France","ONERA, 29 Av. de la Division Leclerc, 92320 Ch\u00e2tillon, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ONERA, Chatillon, France","institution_ids":["https://openalex.org/I2801658355"]},{"raw_affiliation_string":"ONERA, 29 Av. de la Division Leclerc, 92320 Ch\u00e2tillon, France","institution_ids":["https://openalex.org/I2801658355"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012703845","display_name":"Florent\u00edn Smarandache","orcid":"https://orcid.org/0000-0002-5560-5926"},"institutions":[{"id":"https://openalex.org/I169521973","display_name":"University of New Mexico","ror":"https://ror.org/05fs6jp91","country_code":"US","type":"education","lineage":["https://openalex.org/I169521973"]},{"id":"https://openalex.org/I4210118010","display_name":"Gallup Indian Medical Center","ror":"https://ror.org/02jbzrw51","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1299022934","https://openalex.org/I157850169","https://openalex.org/I4210118010"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Florentin Smarandache","raw_affiliation_strings":["Department of Mathematics, University of New Mexico, Gallup, NM, USA","Department of Mathematics, University of New Mexico, Gallup, 87301, U.S.A"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of New Mexico, Gallup, NM, USA","institution_ids":["https://openalex.org/I169521973","https://openalex.org/I4210118010"]},{"raw_affiliation_string":"Department of Mathematics, University of New Mexico, Gallup, 87301, U.S.A","institution_ids":["https://openalex.org/I4210118010"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6707,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.91380889,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/qualitative-reasoning","display_name":"Qualitative reasoning","score":0.5912423133850098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5438192486763},{"id":"https://openalex.org/keywords/qualitative-research","display_name":"Qualitative research","score":0.4434530735015869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.280244380235672},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.1330275535583496},{"id":"https://openalex.org/keywords/social-science","display_name":"Social science","score":0.07757684588432312}],"concepts":[{"id":"https://openalex.org/C83725634","wikidata":"https://www.wikidata.org/wiki/Q7268699","display_name":"Qualitative reasoning","level":2,"score":0.5912423133850098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5438192486763},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.4434530735015869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.280244380235672},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.1330275535583496},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.07757684588432312}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icif.2007.4408179","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icif.2007.4408179","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 10th International Conference on Information Fusion","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:0709.1701","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0709.1701","pdf_url":"https://arxiv.org/pdf/0709.1701","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:0709.1701","is_oa":true,"landing_page_url":"http://arxiv.org/abs/0709.1701","pdf_url":"https://arxiv.org/pdf/0709.1701","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7300000190734863}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W164633920","https://openalex.org/W1498058114","https://openalex.org/W1566211337","https://openalex.org/W1583670700","https://openalex.org/W1965612379","https://openalex.org/W1983700938","https://openalex.org/W2016758852","https://openalex.org/W2039125701","https://openalex.org/W2044922106","https://openalex.org/W2049579296","https://openalex.org/W2051598776","https://openalex.org/W2088688288","https://openalex.org/W2114388211","https://openalex.org/W2137259514","https://openalex.org/W2144301791","https://openalex.org/W2165094119","https://openalex.org/W2169913858","https://openalex.org/W2462494186","https://openalex.org/W2617942944","https://openalex.org/W2797148637","https://openalex.org/W4301347335","https://openalex.org/W6606611037","https://openalex.org/W6629906682","https://openalex.org/W6633996426","https://openalex.org/W6634888857","https://openalex.org/W6641678771","https://openalex.org/W6646106888","https://openalex.org/W6718762855"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,45,138,149],"enriched":[4],"qualitative":[5,72,111,130],"belief":[6,164],"functions":[7],"for":[8,13,43,57],"reasoning":[9,85],"under":[10],"uncertainty":[11],"and":[12,37,49,83,169],"combining":[14],"information":[15],"expressed":[16],"in":[17,77,91,93,107,116,179],"natural":[18],"language":[19],"through":[20],"linguistic":[21,33,100,122,147],"labels.":[22],"In":[23],"this":[24,94],"work,":[25],"two":[26],"possible":[27],"enrichments":[28],"(quantitative":[29],"and/or":[30],"qualitative)":[31],"of":[32,69,81,99,121,162,184],"labels":[34,148],"are":[35,47,88,155],"considered":[36],"operators":[38,61,73],"(addition,":[39],"multiplication,":[40],"division,":[41],"etc)":[42],"dealing":[44],"them":[46,53],"proposed":[48,75],"explained.":[50],"We":[51],"denote":[52],"qe-operators,":[54],"qe":[55],"standing":[56],"\u201cqualitative-enriched\u201d":[58],"operators.":[59],"These":[60],"can":[62,142,166],"be":[63,167],"seen":[64],"as":[65],"a":[66,103,117,170],"direct":[67],"extension":[68],"the":[70,78,110,160],"classical":[71],"(q-operators)":[74],"recently":[76],"Dezert-Smarandache":[79],"Theory":[80],"plausible":[82],"paradoxist":[84],"(DSmT).":[86],"q-operators":[87],"also":[89],"justified":[90],"details":[92],"paper.":[95],"The":[96],"quantitative":[97],"enrichment":[98,112,125],"label":[101],"is":[102,126,134,173],"numerical":[104],"supporting":[105,150],"degree":[106],"[0,\u221e),":[108],"while":[109],"takes":[113],"its":[114,177],"values":[115],"finite":[118],"ordered":[119],"set":[120],"values.":[123],"Quantitative":[124],"less":[127],"precise":[128],"than":[129],"enrichment,":[131],"but":[132],"it":[133],"expected":[135],"more":[136],"close":[137],"what":[139],"human":[140],"experts":[141],"easily":[143],"provide":[144],"when":[145],"expressing":[146],"degrees.":[151],"Two":[152],"simple":[153],"examples":[154],"given":[156,174],"to":[157,175],"show":[158,176],"how":[159],"fusion":[161],"qualitative-enriched":[163],"assignments":[165],"done,":[168],"simulation":[171],"application":[172],"advantage":[178],"rough":[180],"navigation":[181],"map":[182],"building":[183],"mobile":[185],"robot.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}