{"id":"https://openalex.org/W2127525916","doi":"https://doi.org/10.1109/fskd.2007.364","title":"Integrating Bayesian Theory and Fuzzy Logics with Case-Based Reasoning for Car-Diagnosing Problems","display_name":"Integrating Bayesian Theory and Fuzzy Logics with Case-Based Reasoning for Car-Diagnosing Problems","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2127525916","doi":"https://doi.org/10.1109/fskd.2007.364","mag":"2127525916"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2007.364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2007.364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","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/A5103631335","display_name":"Chui-Yu Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chui-Yu Chiu","raw_affiliation_strings":["Department of Industrial Engineering & Management, National Taipei University of Technology, Taiwan","Nat. Taipei Univ. of Technol., Taipei"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Management, National Taipei University of Technology, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"Nat. Taipei Univ. of Technol., Taipei","institution_ids":["https://openalex.org/I118292597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034984624","display_name":"Chih-Chung Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I85148518","display_name":"Fo Guang University","ror":"https://ror.org/046wjy580","country_code":"TW","type":"education","lineage":["https://openalex.org/I85148518"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Chung Lo","raw_affiliation_strings":["Department of Informatics, Fo Guang University, China","Fo Guang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Fo Guang University, China","institution_ids":[]},{"raw_affiliation_string":"Fo Guang University","institution_ids":["https://openalex.org/I85148518"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009297959","display_name":"Yan-Xin Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I118292597","display_name":"National Taipei University of Technology","ror":"https://ror.org/00cn92c09","country_code":"TW","type":"education","lineage":["https://openalex.org/I118292597"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yan-Xin Hsu","raw_affiliation_strings":["Department of Industrial Engineering & Management, National Taipei University of Technology, Taiwan","National Taipei University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Management, National Taipei University of Technology, Taiwan","institution_ids":["https://openalex.org/I118292597"]},{"raw_affiliation_string":"National Taipei University of Technology","institution_ids":["https://openalex.org/I118292597"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6677,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.68450622,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"344","last_page":"348"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9991999864578247,"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":0.9991999864578247,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9969000220298767,"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/T11106","display_name":"Data Management and Algorithms","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.6353873014450073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5989654660224915},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.554573655128479},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5458966493606567},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.49052494764328003},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4878978431224823},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47008466720581055},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43434038758277893},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.4273652136325836},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4190806448459625},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2530922591686249},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17687669396400452},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.10377737879753113},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09549319744110107}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6353873014450073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5989654660224915},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.554573655128479},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5458966493606567},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.49052494764328003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4878978431224823},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47008466720581055},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43434038758277893},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.4273652136325836},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4190806448459625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2530922591686249},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17687669396400452},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.10377737879753113},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09549319744110107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2007.364","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2007.364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1742152372","https://openalex.org/W1817561967","https://openalex.org/W1985461108","https://openalex.org/W2079030138","https://openalex.org/W2079765316","https://openalex.org/W2108688893","https://openalex.org/W2140785063","https://openalex.org/W2156305672","https://openalex.org/W2911666059","https://openalex.org/W6675965110"],"related_works":["https://openalex.org/W2137256417","https://openalex.org/W4285084075","https://openalex.org/W4322208577","https://openalex.org/W4366608229","https://openalex.org/W2365680718","https://openalex.org/W4253015880","https://openalex.org/W4234586272","https://openalex.org/W3026737558","https://openalex.org/W143065237","https://openalex.org/W2132754500"],"abstract_inverted_index":{"This":[0],"paper":[1],"integrates":[2],"fuzzy":[3,135,151],"Bayesian":[4,53,130,139,152],"classifier":[5,54],"with":[6],"case-based":[7,153],"reasoning":[8,154],"(CBR)":[9],"for":[10],"improving":[11],"case":[12,57,176],"retrieval":[13,17],"performance.":[14],"In":[15,63,94],"traditional":[16],"process,":[18],"CBR":[19],"uses":[20,52],"similarity":[21,25],"metric":[22],"to":[23,55,138,141,158],"calculate":[24],"degree":[26],"between":[27],"all":[28],"former":[29],"cases":[30],"and":[31,46,179],"new":[32],"case.":[33],"Then,":[34],"it":[35,41],"retrieves":[36],"the":[37,64,119,127],"highest":[38],"one.":[39],"However,":[40],"would":[42,125],"cause":[43],"computation":[44],"complexity":[45],"waste":[47],"time.":[48],"Our":[49],"proposed":[50,167],"approach":[51],"classify":[56],"base,":[58],"then":[59],"retrieve":[60],"similar":[61],"cases.":[62],"real":[65],"world":[66],"problems,":[67],"attributes":[68,115],"may":[69],"not":[70],"always":[71],"be":[72,76],"discrete;":[73],"they":[74,85],"might":[75],"continuous":[77,83,113],"as":[78],"well.":[79],"When":[80],"users":[81],"encounter":[82],"attributes,":[84],"must":[86],"define":[87,142],"an":[88,97,143],"appropriate":[89,98,144],"conditional":[90,99,108,145],"likelihood":[91,100,109,122,146],"density":[92,110,123,147],"function.":[93,148],"fact,":[95],"defining":[96,107],"function":[101,111,124],"is":[102,116,169],"difficult.":[103],"The":[104,162],"issue":[105],"of":[106,112,121,129],"or":[114],"critical.":[117],"Besides,":[118],"choice":[120],"affect":[126],"accuracy":[128,178],"network.":[131],"Therefore,":[132],"we":[133],"apply":[134],"set":[136],"theory":[137],"network":[140],"An":[149],"efficient":[150],"(FB-CBR)":[155],"was":[156],"built":[157],"solve":[159],"car-diagnosing":[160],"problems.":[161],"result":[163],"shows":[164],"that":[165],"our":[166],"model":[168],"better":[170],"than":[171],"conventional":[172],"models":[173],"both":[174],"in":[175],"matching":[177],"computational":[180],"efficiency.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}