{"id":"https://openalex.org/W2171772678","doi":"https://doi.org/10.1109/icsmc.2007.4413862","title":"Inference results for fuzzy quantified natural language propositions qualified by false","display_name":"Inference results for fuzzy quantified natural language propositions qualified by false","publication_year":2007,"publication_date":"2007-10-01","ids":{"openalex":"https://openalex.org/W2171772678","doi":"https://doi.org/10.1109/icsmc.2007.4413862","mag":"2171772678"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2007.4413862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012210572","display_name":"Wataru Okamoto","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wataru Okamoto","raw_affiliation_strings":["Yokohama, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yokohama, Kanagawa, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109288294","display_name":"Shun\u2019ichi Tano","orcid":null},"institutions":[{"id":"https://openalex.org/I20529979","display_name":"University of Electro-Communications","ror":"https://ror.org/02x73b849","country_code":"JP","type":"education","lineage":["https://openalex.org/I20529979"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun'ichi Tano","raw_affiliation_strings":["BUniversity of Electro-Communications, Chofu, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BUniversity of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110186385","display_name":"Atsushi Inoue","orcid":null},"institutions":[{"id":"https://openalex.org/I159107703","display_name":"Eastern Washington University","ror":"https://ror.org/002g57a93","country_code":"US","type":"education","lineage":["https://openalex.org/I159107703"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Atsushi Inoue","raw_affiliation_strings":["Eastern Washington University, WA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eastern Washington University, WA, USA","institution_ids":["https://openalex.org/I159107703"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113700223","display_name":"R. Fujioka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rvosuke Fujioka","raw_affiliation_strings":["DKobe Sogo Sokki Company Limited, Kobe, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DKobe Sogo Sokki Company Limited, Kobe, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22416813,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":null,"first_page":"871","last_page":"876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11727","display_name":"Advanced Algebra and Logic","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9968000054359436,"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"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9958999752998352,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.6825518012046814},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6443389654159546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5963513851165771},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5890331864356995},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5008220672607422},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4822324216365814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4642653465270996},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.43725037574768066},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.4228127598762512},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40735089778900146},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.23666301369667053},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.23211786150932312}],"concepts":[{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.6825518012046814},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6443389654159546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5963513851165771},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5890331864356995},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5008220672607422},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4822324216365814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4642653465270996},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.43725037574768066},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.4228127598762512},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40735089778900146},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.23666301369667053},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.23211786150932312},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2007.4413862","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4413862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.550000011920929,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2002418751","https://openalex.org/W2063902553","https://openalex.org/W2163031234","https://openalex.org/W2756780709","https://openalex.org/W2757809918","https://openalex.org/W3148646469","https://openalex.org/W6744667875"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1547206149","https://openalex.org/W2054891275","https://openalex.org/W2364373416","https://openalex.org/W4321636575","https://openalex.org/W1986418932","https://openalex.org/W2357796999","https://openalex.org/W2140069467","https://openalex.org/W2918889792","https://openalex.org/W4214667009"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,6],"report":[4],"how":[5],"obtained":[7,25],"inference":[8,26],"results":[9],"for":[10,19,29],"fuzzy-quantified":[11],"and":[12,50],"truth-qualified":[13],"natural":[14],"language":[15],"propositions":[16],"-":[17],"especially":[18],"those":[20],"qualified":[21],"by":[22],"false.":[23],"We":[24],"results,":[27],"Q\u2019s,":[28],"the":[30],"inferences":[31],"QA":[32,41,51],"are":[33,37,42,46,52,56],"F":[34,43,47,53],"is":[35,39,44,48,54,58],"false\u2194Q\u2019A":[36],"mF":[38,57],"false,":[40,49],"false\u2192Q\u2019(mA)":[45],"false\u2192Q\u2019(m\u2019A)":[55],"m\u201dfalse":[59],"(Q,":[60],"Q\u2019:":[61],"fuzzy":[62,65,68],"quantifiers,":[63],"A:":[64],"subject,":[66],"F:":[67],"predicate,":[69],"m,":[70],"m\u2019,":[71],"m\u201d:":[72],"modifiers).":[73]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}