{"id":"https://openalex.org/W3148646469","doi":"https://doi.org/10.1109/fuzzy.2005.1452475","title":"A Generalized Inference Method for Natural Language Propositions Involving Fuzzy Quantifiers and Truth Qualifiers","display_name":"A Generalized Inference Method for Natural Language Propositions Involving Fuzzy Quantifiers and Truth Qualifiers","publication_year":2005,"publication_date":"2005-01-01","ids":{"openalex":"https://openalex.org/W3148646469","doi":"https://doi.org/10.1109/fuzzy.2005.1452475","mag":"3148646469"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2005.1452475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2005.1452475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.","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/A5113546288","display_name":"Ryosuke Fujioka","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ryosuke Fujioka","raw_affiliation_strings":["Yokohama-shi, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yokohama-shi, Japan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110186385","display_name":"Atsushi Inoue","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":"Atsushi Inoue","raw_affiliation_strings":["BUniversity of Electro-Communications, Chofu, Tokyo, Japan","University of Electro-Communications, Chofu-shi, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"BUniversity of Electro-Communications, Chofu, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]},{"raw_affiliation_string":"University of Electro-Communications, Chofu-shi, Tokyo, Japan","institution_ids":["https://openalex.org/I20529979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109288294","display_name":"Shun\u2019ichi Tano","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":"Shun'ichi Tano","raw_affiliation_strings":["Eastern Washington University, Cincinnati, OH, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eastern Washington University, Cincinnati, OH, USA","institution_ids":["https://openalex.org/I159107703"]}]},{"author_position":"last","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":["Kobe Sogo Sokki Co., Ltd, Kobe Hyogo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kobe Sogo Sokki Co., Ltd, Kobe Hyogo, 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":1.2323,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.8148485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"672","last_page":"672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9955000281333923,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9955000281333923,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.995199978351593,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6527056694030762},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5938620567321777},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5860155820846558},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5735456943511963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424580574035645},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.4700174629688263},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.4605042636394501},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.45806413888931274},{"id":"https://openalex.org/keywords/rule-of-inference","display_name":"Rule of inference","score":0.43571019172668457},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.41792765259742737},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.19432780146598816},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.1695268154144287},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.13699498772621155}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6527056694030762},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5938620567321777},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5860155820846558},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5735456943511963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424580574035645},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.4700174629688263},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.4605042636394501},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.45806413888931274},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.43571019172668457},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.41792765259742737},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.19432780146598816},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.1695268154144287},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.13699498772621155},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2005.1452475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2005.1452475","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 14th IEEE International Conference on Fuzzy Systems, 2005. FUZZ '05.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1980080444","https://openalex.org/W2002418751","https://openalex.org/W2063902553","https://openalex.org/W2119712833","https://openalex.org/W2163031234","https://openalex.org/W2756780709","https://openalex.org/W2757809918","https://openalex.org/W6744667875"],"related_works":["https://openalex.org/W2914387284","https://openalex.org/W3145316897","https://openalex.org/W2117185673","https://openalex.org/W2147251992","https://openalex.org/W2159886776","https://openalex.org/W2119712833","https://openalex.org/W2756780709","https://openalex.org/W2171772678","https://openalex.org/W47291513","https://openalex.org/W2310690515","https://openalex.org/W1970385973","https://openalex.org/W2545169154","https://openalex.org/W615011212","https://openalex.org/W1886880931","https://openalex.org/W1992705979","https://openalex.org/W2117053569","https://openalex.org/W2363475565","https://openalex.org/W2551681540","https://openalex.org/W2088723083","https://openalex.org/W1822605071"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,12,74,79],"generalized":[6],"inference":[7],"method":[8,18],"needed":[9],"for":[10,68],"constructing":[11],"natural":[13],"language":[14],"communication":[15],"system.":[16],"The":[17],"is":[19,30,35,37,39,63],"used":[20],"to":[21],"obtain":[22],"fuzzy":[23,43,46,53],"quantifier":[24],"Q'":[25,62],"when":[26],"\"Q":[27],"are":[28,33],"F":[29],"taurArr":[31],"Q'(m'A)":[32],"mF":[34],"m\"":[36],"tau\"":[38],"inferred":[40],"(Q,":[41],"Q':":[42],"quantifiers,":[44],"A:":[45],"subject,":[47],"m,":[48],"m',":[49],"m\":":[50],"modifiers,":[51],"F:":[52],"predicate,":[54],"tau":[55],":":[56],"truth":[57],"qualifier).":[58],"We":[59],"show":[60],"that":[61],"resolved":[64],"step":[65,67],"by":[66],"two":[69],"types":[70],"of":[71],"Q,":[72],"including":[73],"non-increasing":[75],"type":[76,81],"(few,...)":[77],"and":[78],"non-decreasing":[80],"(most,...)":[82]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}