{"id":"https://openalex.org/W2971464376","doi":"https://doi.org/10.4018/ijoris.2019100104","title":"Revised Weighted Fuzzy C-Means and Fortified Weiszfeld Hybrid Method for Uncapacitated Multi-Facility Location Problems","display_name":"Revised Weighted Fuzzy C-Means and Fortified Weiszfeld Hybrid Method for Uncapacitated Multi-Facility Location Problems","publication_year":2019,"publication_date":"2019-09-05","ids":{"openalex":"https://openalex.org/W2971464376","doi":"https://doi.org/10.4018/ijoris.2019100104","mag":"2971464376"},"language":"en","primary_location":{"id":"doi:10.4018/ijoris.2019100104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijoris.2019100104","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=236646&isxn=9781522566175","source":{"id":"https://openalex.org/S176018216","display_name":"International Journal of Operations Research and Information Systems","issn_l":"1947-9328","issn":["1947-9328","1947-9336"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Operations Research and Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=236646&isxn=9781522566175","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000646370","display_name":"Isik Guzelgoz","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112471","display_name":"Istanbul University-Cerrahpa\u015fa","ror":"https://ror.org/01dzn5f42","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210112471"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Isik Guzelgoz","raw_affiliation_strings":["Department of Industrial Engineering, Istanbul University-Cerrahpasa, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Istanbul University-Cerrahpasa, Turkey","institution_ids":["https://openalex.org/I4210112471"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026511450","display_name":"\u015eakir Esnaf","orcid":"https://orcid.org/0000-0001-6261-3118"},"institutions":[{"id":"https://openalex.org/I4210112471","display_name":"Istanbul University-Cerrahpa\u015fa","ror":"https://ror.org/01dzn5f42","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210112471"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Sakir Esnaf","raw_affiliation_strings":["Department of Industrial Engineering, Istanbul University-Cerrahpasa, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-6261-3118","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Istanbul University-Cerrahpasa, Turkey","institution_ids":["https://openalex.org/I4210112471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014859470","display_name":"Tar\u0131k K\u00fc\u00e7\u00fckdeniz","orcid":"https://orcid.org/0000-0002-6670-1809"},"institutions":[{"id":"https://openalex.org/I4210112471","display_name":"Istanbul University-Cerrahpa\u015fa","ror":"https://ror.org/01dzn5f42","country_code":"TR","type":"education","lineage":["https://openalex.org/I4210112471"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tarik Kucukdeniz","raw_affiliation_strings":["Department of Industrial Engineering, Istanbul University-Cerrahpasa, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6670-1809","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Istanbul University-Cerrahpasa, Turkey","institution_ids":["https://openalex.org/I4210112471"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210112471"],"apc_list":null,"apc_paid":null,"fwci":0.2829,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6894051,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":"4","first_page":"53","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T11502","display_name":"Facility Location and Emergency Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.9883000254631042,"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/T12306","display_name":"Urban and Freight Transport Logistics","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.6785176992416382},{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.6392163038253784},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6188121438026428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5715288519859314},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.504590630531311},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.49537479877471924},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.46717366576194763},{"id":"https://openalex.org/keywords/hybrid-algorithm","display_name":"Hybrid algorithm (constraint satisfaction)","score":0.41247886419296265},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40421000123023987},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37945136427879333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2894537150859833},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21389642357826233},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07081681489944458}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6785176992416382},{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.6392163038253784},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6188121438026428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5715288519859314},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.504590630531311},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.49537479877471924},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.46717366576194763},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.41247886419296265},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40421000123023987},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37945136427879333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2894537150859833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21389642357826233},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07081681489944458},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C176783269","wikidata":"https://www.wikidata.org/wiki/Q5164378","display_name":"Constraint logic programming","level":4,"score":0.0},{"id":"https://openalex.org/C173404611","wikidata":"https://www.wikidata.org/wiki/Q528588","display_name":"Constraint programming","level":3,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijoris.2019100104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijoris.2019100104","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=236646&isxn=9781522566175","source":{"id":"https://openalex.org/S176018216","display_name":"International Journal of Operations Research and Information Systems","issn_l":"1947-9328","issn":["1947-9328","1947-9336"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Operations Research and Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:joris0:v:10:y:2019:i:4:p:53-71","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJORIS.2019100104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.4018/ijoris.2019100104","is_oa":true,"landing_page_url":"https://doi.org/10.4018/ijoris.2019100104","pdf_url":"https://www.igi-global.com/ViewTitle.aspx?TitleId=236646&isxn=9781522566175","source":{"id":"https://openalex.org/S176018216","display_name":"International Journal of Operations Research and Information Systems","issn_l":"1947-9328","issn":["1947-9328","1947-9336"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Operations Research and Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.46000000834465027,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2971464376.pdf","grobid_xml":"https://content.openalex.org/works/W2971464376.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W49320045","https://openalex.org/W1970928279","https://openalex.org/W1983482916","https://openalex.org/W1984773609","https://openalex.org/W1990368529","https://openalex.org/W1991912455","https://openalex.org/W1999917983","https://openalex.org/W2003529684","https://openalex.org/W2014660138","https://openalex.org/W2019162816","https://openalex.org/W2026589647","https://openalex.org/W2031089375","https://openalex.org/W2031903553","https://openalex.org/W2046815126","https://openalex.org/W2048451767","https://openalex.org/W2048901266","https://openalex.org/W2056119974","https://openalex.org/W2066727426","https://openalex.org/W2076746488","https://openalex.org/W2081963254","https://openalex.org/W2084091257","https://openalex.org/W2109181422","https://openalex.org/W2110368321","https://openalex.org/W2113076747","https://openalex.org/W2135662653","https://openalex.org/W2152195021","https://openalex.org/W2157700603","https://openalex.org/W2329933562","https://openalex.org/W2401225708","https://openalex.org/W2465490635","https://openalex.org/W4206800649","https://openalex.org/W4238714550"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2028665553","https://openalex.org/W4230315250","https://openalex.org/W2086519370","https://openalex.org/W2087343574"],"abstract_inverted_index":{"In":[0],"this":[1],"article,":[2],"a":[3,22,111],"hybrid":[4,18,90,116],"method":[5,19,91,98],"is":[6,76,110],"proposed":[7,32,74,89,96],"to":[8],"solve":[9],"the":[10,25,39,51,55,60,82,88,94,105,115],"uncapacitated":[11],"planar":[12],"multi-facility":[13],"location":[14,84],"problems.":[15],"The":[16,47,73],"new":[17],"consists":[20],"of":[21,24,54,87,114,118],"combination":[23],"Revised":[26,119],"Weighted":[27,120],"Fuzzy":[28,121],"C-Means":[29,122],"(RWFCM)":[30],"algorithm":[31,42],"by":[33,44],"Esnaf":[34],"and":[35,38,50,68,123],"K\u00fc\u00e7\u00fckdeniz":[36],"(2013)":[37],"Fortified":[40,61,124],"Weiszfeld":[41,62,125],"developed":[43],"Drezner":[45],"(2015).":[46],"cluster":[48,52,67],"centers":[49],"assignments":[53],"RWFCM":[56],"are":[57,71],"fed":[58],"into":[59],"Algorithm":[63],"separately":[64],"for":[65],"each":[66],"facility-customer":[69],"allocations":[70],"determined.":[72],"approach":[75],"benchmarked":[77],"on":[78],"sample":[79],"datasets":[80],"from":[81],"facility":[83],"literature.":[85],"Results":[86],"show":[92],"that":[93],"newly":[95],"sequentially-run":[97],"achieves":[99],"better":[100],"results":[101],"when":[102],"compared":[103],"against":[104],"benchmark":[106],"methods.":[107],"This":[108],"paper":[109],"pioneer":[112],"study":[113],"use":[117],"algorithms.":[126]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}