{"id":"https://openalex.org/W4409684004","doi":"https://doi.org/10.1007/s10462-025-11209-7","title":"A novel fuzzy neural network approach with triangular fuzzy information for the selection of logistics service providers","display_name":"A novel fuzzy neural network approach with triangular fuzzy information for the selection of logistics service providers","publication_year":2025,"publication_date":"2025-04-22","ids":{"openalex":"https://openalex.org/W4409684004","doi":"https://doi.org/10.1007/s10462-025-11209-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10462-025-11209-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11209-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11209-7.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11209-7.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lifang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087590","display_name":"Huzhou Vocational and Technical College","ror":"https://ror.org/002hfez23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210087590"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lifang Wang","raw_affiliation_strings":["School of Economic Management and E-business, Huzhou Vocational & Technical College, Huzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Economic Management and E-business, Huzhou Vocational & Technical College, Huzhou, Zhejiang, China","institution_ids":["https://openalex.org/I4210087590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077817609","display_name":"Saleem Abdullah","orcid":"https://orcid.org/0000-0002-7474-5115"},"institutions":[{"id":"https://openalex.org/I181063083","display_name":"Abdul Wali Khan University Mardan","ror":"https://ror.org/03b9y4e65","country_code":"PK","type":"education","lineage":["https://openalex.org/I181063083"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Saleem Abdullah","raw_affiliation_strings":["Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan","institution_ids":["https://openalex.org/I181063083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092760390","display_name":"Ariana Abdul Rahimzai","orcid":"https://orcid.org/0000-0001-5133-5503"},"institutions":[{"id":"https://openalex.org/I197610006","display_name":"University of Lagos","ror":"https://ror.org/05rk03822","country_code":"NG","type":"education","lineage":["https://openalex.org/I197610006"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Ariana Abdul Rahimzai","raw_affiliation_strings":["Department of Mathematics, Education Faculty, Laghman University Mehterlam City, Mitarlam, Laghaman, 2701, Afghanistan"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Education Faculty, Laghman University Mehterlam City, Mitarlam, Laghaman, 2701, Afghanistan","institution_ids":["https://openalex.org/I197610006"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073023307","display_name":"Ihsan Ullah","orcid":"https://orcid.org/0009-0008-8784-3743"},"institutions":[{"id":"https://openalex.org/I181063083","display_name":"Abdul Wali Khan University Mardan","ror":"https://ror.org/03b9y4e65","country_code":"PK","type":"education","lineage":["https://openalex.org/I181063083"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ihsan Ullah","raw_affiliation_strings":["Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Abdul Wali Khan University Mardan, Mardan, KP, Pakistan","institution_ids":["https://openalex.org/I181063083"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210087590"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":{"value":2490,"currency":"EUR","value_usd":3090},"fwci":21.0026,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.99370806,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"58","issue":"7","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9922999739646912,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9922999739646912,"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"}},{"id":"https://openalex.org/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9599000215530396,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12176","display_name":"Optimization and Packing Problems","score":0.9514999985694885,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7506773471832275},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.613359808921814},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5939308404922485},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.566192090511322},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.5055520534515381},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4580300450325012},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4170050621032715},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.41445767879486084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3997979164123535},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.32196885347366333},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.2065543830394745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08832734823226929},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.05929487943649292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7506773471832275},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.613359808921814},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5939308404922485},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.566192090511322},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.5055520534515381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4580300450325012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4170050621032715},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.41445767879486084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3997979164123535},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32196885347366333},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.2065543830394745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08832734823226929},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.05929487943649292}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10462-025-11209-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11209-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11209-7.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10462-025-11209-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10462-025-11209-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10462-025-11209-7.pdf","source":{"id":"https://openalex.org/S122814990","display_name":"Artificial Intelligence Review","issn_l":"0269-2821","issn":["0269-2821","1573-7462"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Artificial Intelligence Review","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409684004.pdf","grobid_xml":"https://content.openalex.org/works/W4409684004.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W1511176262","https://openalex.org/W1789813810","https://openalex.org/W1965777053","https://openalex.org/W1975970362","https://openalex.org/W1980564456","https://openalex.org/W1983294580","https://openalex.org/W1987385632","https://openalex.org/W1987572655","https://openalex.org/W2032298865","https://openalex.org/W2057669676","https://openalex.org/W2075012166","https://openalex.org/W2076296214","https://openalex.org/W2086373619","https://openalex.org/W2123286833","https://openalex.org/W2141446718","https://openalex.org/W2147684166","https://openalex.org/W2799468307","https://openalex.org/W2886335033","https://openalex.org/W2920974670","https://openalex.org/W4211007335","https://openalex.org/W4323520249","https://openalex.org/W4360615433","https://openalex.org/W4361208654","https://openalex.org/W4384080838","https://openalex.org/W4384666323","https://openalex.org/W4386945978","https://openalex.org/W4388553669","https://openalex.org/W4389483667","https://openalex.org/W4389637740","https://openalex.org/W4390932579","https://openalex.org/W4391460553","https://openalex.org/W4392906382","https://openalex.org/W4393092112","https://openalex.org/W4400241414","https://openalex.org/W4401056668","https://openalex.org/W4401378057","https://openalex.org/W4405825919","https://openalex.org/W4408294602"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2391251536","https://openalex.org/W2383516975","https://openalex.org/W2374878784","https://openalex.org/W2147679489"],"abstract_inverted_index":{"In":[0,125],"this":[1,209],"article,":[2],"we":[3,55,130,153],"presents":[4],"a":[5,37,114,191,215,251],"novel":[6,210],"fuzzy":[7,33,39,61,99,147,228,246],"neural":[8,148,229],"network":[9,149,230],"approach":[10,211,231],"designed":[11],"to":[12,46,93,160,183,243],"address":[13],"multi":[14],"criteria":[15],"decision":[16,28,49,77,127,157,253,260],"making":[17,29,50,78,128,158,261],"(MCDM)":[18],"problems,":[19],"specifically":[20],"for":[21,65,89],"selecting":[22],"logistics":[23,135,164,195,264],"service":[24,136,165,196],"providers.":[25,166],"The":[26,80,102,167,206,222],"proposed":[27,156],"model":[30,159],"integrates":[31],"triangular":[32,38,60,227],"numbers":[34],"(TFNs)":[35],"with":[36,218],"Einstein":[40,110],"weighted":[41],"averaging":[42],"(TFEWA)":[43],"aggregation":[44,104],"operator":[45,169],"enhance":[47],"the":[48,57,66,98,122,126,146,155,162,173,226],"process":[51],"under":[52],"uncertainty.":[53],"Initially,":[54],"discussed":[56],"concept":[58],"of":[59,68,97,194,208,237,257],"numbers,":[62],"which":[63,106,141],"allows":[64],"representation":[67],"uncertain":[69],"and":[70,85,112,175,178,240,265],"imprecise":[71],"data":[72],"typically":[73],"presented":[74,92],"in":[75,117,121,235,263],"real-world":[76],"environments.":[79],"operational":[81],"laws,":[82],"score":[83],"function,":[84],"Hamming":[86],"distance":[87],"measures":[88],"TFNs":[90],"are":[91,142,181],"ensure":[94],"accurate":[95],"handling":[96],"input":[100],"data.":[101,247],"TFEWA":[103,168],"operator,":[105],"is":[107,212],"based":[108,198],"on":[109,199],"norms":[111],"plays":[113],"crucial":[115],"role":[116],"aggregating":[118],"expert":[119,132],"opinions":[120,133],"evaluation":[123],"process.":[124],"process,":[129],"collect":[131],"regarding":[134],"providers,":[137],"expressed":[138],"as":[139],"TFNs,":[140],"then":[143],"processed":[144],"through":[145,214],"model.":[150],"After":[151],"that,":[152],"apply":[154],"select":[161],"best":[163],"computes":[170],"values":[171],"at":[172],"hidden":[174],"output":[176,186],"layers,":[177],"activation":[179],"functions":[180],"applied":[182],"produce":[184],"final":[185],"values.":[187],"These":[188],"outputs":[189],"provide":[190],"ranked":[192],"list":[193],"providers":[197],"their":[200],"overall":[201],"performance":[202],"across":[203],"multiple":[204],"criteria.":[205],"effectiveness":[207],"validated":[213],"comparative":[216],"analysis":[217],"existing":[219],"MCDM":[220],"methods.":[221],"results":[223],"demonstrate":[224],"that":[225],"outperforms":[232],"traditional":[233],"methods":[234],"terms":[236],"flexibility,":[238],"accuracy,":[239],"its":[241],"ability":[242],"handle":[244],"uncertain,":[245],"Our":[248],"method":[249],"provides":[250],"robust":[252],"support":[254],"system,":[255],"capable":[256],"managing":[258],"complex":[259],"tasks":[262],"other":[266],"fields.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":5}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
