{"id":"https://openalex.org/W2016682084","doi":"https://doi.org/10.1080/00207160701737176","title":"Partitioned fuzzy integral nested logit model for the Taiwan's internet telephony market","display_name":"Partitioned fuzzy integral nested logit model for the Taiwan's internet telephony market","publication_year":2008,"publication_date":"2008-07-08","ids":{"openalex":"https://openalex.org/W2016682084","doi":"https://doi.org/10.1080/00207160701737176","mag":"2016682084"},"language":"en","primary_location":{"id":"doi:10.1080/00207160701737176","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160701737176","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","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/A5010010639","display_name":"Fang-Mei Tseng","orcid":"https://orcid.org/0000-0003-2166-3033"},"institutions":[{"id":"https://openalex.org/I99908691","display_name":"Yuan Ze University","ror":"https://ror.org/01fv1ds98","country_code":"TW","type":"education","lineage":["https://openalex.org/I99908691"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Fang-Mei Tseng","raw_affiliation_strings":["Department of International Business, Yuan Ze University, Chung-Li, Taiwan, ROC","Department of International Business, Yuan Ze University, Chung-Li, Taiwan, ROC#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of International Business, Yuan Ze University, Chung-Li, Taiwan, ROC","institution_ids":["https://openalex.org/I99908691"]},{"raw_affiliation_string":"Department of International Business, Yuan Ze University, Chung-Li, Taiwan, ROC#TAB#","institution_ids":["https://openalex.org/I99908691"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030782765","display_name":"Yi\u2010Chung Hu","orcid":"https://orcid.org/0000-0003-3090-1515"},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Chung Hu","raw_affiliation_strings":["Department of Business Administration, Chung Yuan Christian University, Chung-Li, Taiwan, ROC","Department of Business Administration , Chung Yuan Christian University , Chung-Li, Taiwan, ROC"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Business Administration, Chung Yuan Christian University, Chung-Li, Taiwan, ROC","institution_ids":["https://openalex.org/I151221077"]},{"raw_affiliation_string":"Department of Business Administration , Chung Yuan Christian University , Chung-Li, Taiwan, ROC","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5010010639"],"corresponding_institution_ids":["https://openalex.org/I99908691"],"apc_list":null,"apc_paid":null,"fwci":1.3044,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86936684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"86","issue":"8","first_page":"1283","last_page":"1299"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10841","display_name":"Economic and Environmental Valuation","score":0.9922000169754028,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9782999753952026,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multinomial-logistic-regression","display_name":"Multinomial logistic regression","score":0.7245188355445862},{"id":"https://openalex.org/keywords/choquet-integral","display_name":"Choquet integral","score":0.6249247789382935},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5644733905792236},{"id":"https://openalex.org/keywords/mixed-logit","display_name":"Mixed logit","score":0.5005979537963867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49876952171325684},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4922279417514801},{"id":"https://openalex.org/keywords/discrete-choice","display_name":"Discrete choice","score":0.4705389142036438},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.4629870653152466},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.445745587348938},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4453653395175934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.379790723323822},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.37697067856788635},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.23391824960708618},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17418420314788818}],"concepts":[{"id":"https://openalex.org/C117568660","wikidata":"https://www.wikidata.org/wiki/Q1650843","display_name":"Multinomial logistic regression","level":2,"score":0.7245188355445862},{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.6249247789382935},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5644733905792236},{"id":"https://openalex.org/C95057490","wikidata":"https://www.wikidata.org/wiki/Q6883984","display_name":"Mixed logit","level":3,"score":0.5005979537963867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49876952171325684},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4922279417514801},{"id":"https://openalex.org/C190669063","wikidata":"https://www.wikidata.org/wiki/Q5282043","display_name":"Discrete choice","level":2,"score":0.4705389142036438},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.4629870653152466},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.445745587348938},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4453653395175934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.379790723323822},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.37697067856788635},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23391824960708618},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17418420314788818},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207160701737176","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207160701737176","pdf_url":null,"source":{"id":"https://openalex.org/S124867444","display_name":"International Journal of Computer Mathematics","issn_l":"0020-7160","issn":["0020-7160","1026-7425","1029-0265"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W38287544","https://openalex.org/W223708877","https://openalex.org/W1497256448","https://openalex.org/W1550812296","https://openalex.org/W1578916512","https://openalex.org/W1968967768","https://openalex.org/W1970641102","https://openalex.org/W1979258712","https://openalex.org/W1988271941","https://openalex.org/W1992358618","https://openalex.org/W2007211588","https://openalex.org/W2008244698","https://openalex.org/W2021934623","https://openalex.org/W2027870918","https://openalex.org/W2031391348","https://openalex.org/W2063579700","https://openalex.org/W2066880526","https://openalex.org/W2083833236","https://openalex.org/W2128150067","https://openalex.org/W2128364931","https://openalex.org/W2166843422","https://openalex.org/W2316439516","https://openalex.org/W2397874961","https://openalex.org/W2758675260","https://openalex.org/W4254509533"],"related_works":["https://openalex.org/W1600556093","https://openalex.org/W3143873299","https://openalex.org/W1561002350","https://openalex.org/W2029807096","https://openalex.org/W3097028628","https://openalex.org/W1994479053","https://openalex.org/W633229136","https://openalex.org/W2336647640","https://openalex.org/W2159204218","https://openalex.org/W3125336959"],"abstract_inverted_index":{"The":[0,25],"multinomial":[1],"logit":[2,27,113],"(MNL)":[3],"model":[4,29,47,102,115,136],"is":[5,81,88,137],"the":[6,21,34,42,45,67,75,96,100,108,134,140,143],"most":[7,35],"widely":[8],"used":[9],"discrete":[10],"choice":[11,92],"model.":[12,145],"It":[13],"assumes":[14],"theindependence":[15],"of":[16,23,44,52,69],"irrelevant":[17],"alternatives":[18],"(IIA)":[19],"and":[20,65,99,131,142],"independence":[22],"attributes.":[24],"nested":[26,112],"(NL)":[28],"has":[30],"proven":[31],"to":[32,73,120,139],"be":[33],"successful":[36],"in":[37,104],"solving":[38],"IIA":[39],"problem.":[40,77],"However,":[41],"attributes":[43,51],"NL":[46,101,144],"remain":[48],"independent":[49],"while":[50],"social":[53],"problems":[54],"are":[55],"often":[56],"interdependent.":[57],"Some":[58],"researchers":[59],"suggest":[60],"using":[61,107],"a":[62,70],"fuzzy":[63,71,110],"integral,":[64,98],"applying":[66],"idea":[68],"measure":[72],"solve":[74,121],"non-additive":[76],"Yet":[78],"this":[79,105,129],"method":[80],"unsuitable":[82],"for":[83],"stated":[84],"preference":[85],"data,":[86],"which":[87],"based":[89],"on":[90],"hypothetical":[91],"data.":[93],"Factor":[94],"analysis,":[95],"Choquet":[97],"combine":[103],"study":[106],"partitioned":[109],"integral":[111],"(PFINL)":[114],"as":[116],"an":[117],"innovative":[118],"way":[119],"these":[122],"problems.":[123],"Taiwan's":[124],"Internet":[125],"Telephony":[126],"market":[127],"illustrates":[128],"model,":[130],"shows":[132],"that":[133],"PFINL":[135],"superior":[138],"MNL":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
