{"id":"https://openalex.org/W2601389799","doi":"https://doi.org/10.1109/tfuzz.2017.2687402","title":"Probabilistic Fuzzy Classification for Stochastic Data","display_name":"Probabilistic Fuzzy Classification for Stochastic Data","publication_year":2017,"publication_date":"2017-03-25","ids":{"openalex":"https://openalex.org/W2601389799","doi":"https://doi.org/10.1109/tfuzz.2017.2687402","mag":"2601389799"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2017.2687402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2017.2687402","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"},"type":"article","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/A5090216201","display_name":"Han\u2010Xiong Li","orcid":"https://orcid.org/0000-0002-0707-5940"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Han-Xiong Li","raw_affiliation_strings":["Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong","State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100733310","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-8843-8685"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China","Tencent AI Lab, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Tencent AI Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100354415","display_name":"Geng Zhang","orcid":"https://orcid.org/0000-0002-4499-556X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geng Zhang","raw_affiliation_strings":["Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, China","institution_ids":["https://openalex.org/I98301712"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5090216201"],"corresponding_institution_ids":["https://openalex.org/I139660479","https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":1.5602,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86939848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"25","issue":"6","first_page":"1391","last_page":"1402"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9994999766349792,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9994999766349792,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9972000122070312,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.756960391998291},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6928092241287231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.656731128692627},{"id":"https://openalex.org/keywords/probabilistic-classification","display_name":"Probabilistic classification","score":0.6481841206550598},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6220235228538513},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6215184926986694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5517433285713196},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5495447516441345},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5077884793281555},{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.48957404494285583},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4245699644088745},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.09748244285583496},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.09742096066474915}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.756960391998291},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6928092241287231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656731128692627},{"id":"https://openalex.org/C189119545","wikidata":"https://www.wikidata.org/wiki/Q5128022","display_name":"Probabilistic classification","level":4,"score":0.6481841206550598},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6220235228538513},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6215184926986694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5517433285713196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5495447516441345},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5077884793281555},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.48957404494285583},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4245699644088745},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.09748244285583496},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.09742096066474915}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2017.2687402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2017.2687402","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G2027120655","display_name":null,"funder_award_id":"7004666","funder_id":"https://openalex.org/F4320309893","funder_display_name":"City University of Hong Kong"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1587235402","https://openalex.org/W1978134155","https://openalex.org/W1996930353","https://openalex.org/W1998577858","https://openalex.org/W2000976145","https://openalex.org/W2011529478","https://openalex.org/W2024437337","https://openalex.org/W2038190934","https://openalex.org/W2050473078","https://openalex.org/W2056856647","https://openalex.org/W2077874114","https://openalex.org/W2081712003","https://openalex.org/W2086602917","https://openalex.org/W2090637769","https://openalex.org/W2104134463","https://openalex.org/W2104447826","https://openalex.org/W2105234323","https://openalex.org/W2110775809","https://openalex.org/W2119389370","https://openalex.org/W2125858817","https://openalex.org/W2132208889","https://openalex.org/W2135877462","https://openalex.org/W2141178894","https://openalex.org/W2153676086","https://openalex.org/W2162706466","https://openalex.org/W2163614729","https://openalex.org/W2170751184","https://openalex.org/W2588943408"],"related_works":["https://openalex.org/W2177788029","https://openalex.org/W2038224889","https://openalex.org/W1957831838","https://openalex.org/W4312017181","https://openalex.org/W2166637398","https://openalex.org/W1486684451","https://openalex.org/W2059915290","https://openalex.org/W2087021805","https://openalex.org/W2374152511","https://openalex.org/W2066929655"],"abstract_inverted_index":{"The":[0,39,136],"classification":[1,20,138,147],"problem":[2],"in":[3,10,33,47,55,146],"the":[4,24,56,71,81,85,100,109,113,116,126,140],"real-world":[5],"applications":[6],"always":[7],"involves":[8],"uncertainties":[9,32],"both":[11,34],"stochastic":[12,35],"and":[13,36,41,69,131,139],"fuzzy":[14,27,37,83,90],"nature.":[15,38],"This":[16,103],"paper":[17],"proposes":[18],"a":[19,77],"framework":[21],"based":[22],"on":[23,122],"unified":[25],"probabilistic":[26,89],"configuration":[28],"for":[29,53,108],"data":[30,130,149],"with":[31,150],"design":[40],"tuning":[42],"procedures":[43],"are":[44],"also":[45],"developed":[46],"terms":[48],"of":[49,115,148],"probability-based":[50],"performance":[51,79],"measure":[52],"working":[54],"complex":[57],"environment.":[58],"A":[59],"theoretical":[60],"analysis":[61],"is":[62,106],"conducted":[63],"to":[64,76,96,125],"derive":[65],"its":[66,123,144],"quantificational":[67],"model":[68],"disclose":[70,143],"interesting":[72],"features.":[73],"In":[74],"addition":[75],"superior":[78],"than":[80],"traditional":[82],"method,":[84],"proposed":[86,117],"method":[87],"generates":[88],"rules":[91],"that":[92],"can":[93],"help":[94],"users":[95],"better":[97],"understand":[98],"how":[99],"classifier":[101,118],"works.":[102],"explainable":[104,141],"characteristic":[105,142],"crucial":[107],"decision":[110],"making.":[111],"Finally,":[112],"effectiveness":[114],"will":[119],"be":[120],"demonstrated":[121],"application":[124],"Pima":[127],"Indians":[128],"Diabetes":[129],"low":[132],"back":[133],"pain":[134],"diagnosis.":[135],"satisfactory":[137],"potential":[145],"uncertainties.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}