{"id":"https://openalex.org/W110416884","doi":"https://doi.org/10.20965/jaciii.2003.p0200","title":"A Sequential Method for Combining Random Utility Model and Fuzzy Inference Model","display_name":"A Sequential Method for Combining Random Utility Model and Fuzzy Inference Model","publication_year":2003,"publication_date":"2003-06-20","ids":{"openalex":"https://openalex.org/W110416884","doi":"https://doi.org/10.20965/jaciii.2003.p0200","mag":"110416884"},"language":"en","primary_location":{"id":"doi:10.20965/jaciii.2003.p0200","doi":"https://doi.org/10.20965/jaciii.2003.p0200","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2003.p0200","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.20965/jaciii.2003.p0200","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042503586","display_name":"Backjin Lee","orcid":"https://orcid.org/0000-0002-0624-9048","observed_orcids":["https://orcid.org/0000-0002-0624-9048"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Backjin Lee","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089705682","display_name":"Akimasa Fujiwara","orcid":"https://orcid.org/0000-0002-3354-0631","observed_orcids":["https://orcid.org/0000-0002-3354-0631"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Akimasa Fujiwara","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109879122","display_name":"Yoriyasu Sugie","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yoriyasu Sugie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5010469454","display_name":"Moon NamGung","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Moon Namgung","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.377,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92958075,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"7","issue":"2","first_page":"200","last_page":"206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.8672000169754028,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.8672000169754028,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.07509999722242355,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.012600000016391277,"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/random-utility-maximization","display_name":"random utility maximization","score":0.8029999732971191},{"id":"https://openalex.org/keywords/fuzzy-inference-model","display_name":"fuzzy inference model","score":0.9139999747276306},{"id":"https://openalex.org/keywords/route-choice-behavior","display_name":"route choice behavior","score":0.7599999904632568},{"id":"https://openalex.org/keywords/traffic-information","display_name":"traffic information","score":0.890999972820282},{"id":"https://openalex.org/keywords/driver-heterogeneity","display_name":"driver heterogeneity","score":0.6159999966621399}],"concepts":[{"id":"https://openalex.org/C2776825360","wikidata":"https://www.wikidata.org/wiki/Q1411921","display_name":"Vagueness","level":3,"score":0.8985024690628052},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.7915171384811401},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.743097186088562},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6831392049789429},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5615471005439758},{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.5522921085357666},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4655255675315857},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45140042901039124},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.438112735748291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4328257441520691},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3435479700565338},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1677219271659851},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1462366282939911},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.20965/jaciii.2003.p0200","doi":"https://doi.org/10.20965/jaciii.2003.p0200","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2003.p0200","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.20965/jaciii.2003.p0200","doi":"https://doi.org/10.20965/jaciii.2003.p0200","is_oa":true,"landing_page_url":"https://doi.org/10.20965/jaciii.2003.p0200","pdf_url":null,"source":{"id":"https://openalex.org/S4511983","display_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","issn_l":"1343-0130","issn":["1343-0130","1883-8014"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","dongbi-d","jufo-1","poland-20","russia-white-list-3"],"host_organization":"https://openalex.org/P4324309662","host_organization_name":"Fuji Technology Press Ltd.","host_organization_lineage":["https://openalex.org/P4324309662"],"host_organization_lineage_names":["Fuji Technology Press Ltd."],"type":"journal"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Advanced Computational Intelligence and Intelligent Informatics","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W587568095","https://openalex.org/W600077011","https://openalex.org/W83499761","https://openalex.org/W2349395763","https://openalex.org/W2039626433","https://openalex.org/W7099166193","https://openalex.org/W2098143601","https://openalex.org/W2787973022","https://openalex.org/W564186482","https://openalex.org/W1972959126"],"abstract_inverted_index":{"In":[0],"the":[1,31,34,38,55,63,74,77,80,92,114,123,136,139,146,150,153,165,172,176,182,185,189],"analysis":[2],"of":[3,40,58,65,82,116,149,175],"choice":[4,46,59,85,118,190],"behavior":[5,47,60,86,191],"problem,":[6],"uncertainty":[7,187],"can":[8,168],"be":[9],"divided":[10],"into":[11],"two":[12,56],"different":[13],"types:":[14],"randomness":[15,32,75,115,183],"and":[16,21,33,76,120,152,184],"vagueness.":[17,137],"Random":[18],"utility":[19],"model":[20,24,72,108,131,141,167,178],"fuzzy":[22,129,154],"inference":[23,130,155],"have":[25,51],"been":[26],"widely":[27],"used":[28],"to":[29,53,69,112,121,134,170],"consider":[30,113,135],"vagueness,":[35],"respectively.":[36],"Despite":[37],"necessity":[39],"simultaneously":[41],"considering":[42],"both":[43],"uncertainties":[44],"in":[45,79,160,188],"analysis,":[48],"few":[49],"literatures":[50],"tried":[52],"combine":[54],"types":[57],"models.":[61,156],"Therefore,":[62],"aim":[64],"this":[66,161],"paper":[67,162],"is":[68,98,110,132,142],"suggest":[70],"a":[71,95,103,128],"combining":[73,145],"vagueness":[78,186],"context":[81],"driver\u2019s":[83],"route":[84,117],"under":[87],"traffic":[88],"information.":[89],"To":[90],"estimate":[91],"combined":[93,140,166],"model,":[94],"sequential":[96],"method":[97],"suggested":[99],"as":[100],"follows:":[101],"First,":[102],"latent":[104],"class":[105],"multinomial":[106],"logit":[107],"(LCML)":[109],"developed":[111,133],"behaviors":[119],"analyze":[122],"heterogeneity":[124],"among":[125],"drivers.":[126],"Second,":[127],"Finally,":[138],"established":[143],"by":[144,179],"estimation":[147],"results":[148,159],"LCML":[151,177],"The":[157],"empirical":[158],"show":[163],"that":[164],"contribute":[169],"enhance":[171],"explanatory":[173],"power":[174],"effectively":[180],"incorporating":[181],"model.":[192]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2016-06-24T00:00:00"}