{"id":"https://openalex.org/W2015876730","doi":"https://doi.org/10.1109/icmlc.2014.7009710","title":"A fuzzy-random optimization approach using fuzzy measure and fuzzy integral for emergency risk coordination of supply chain","display_name":"A fuzzy-random optimization approach using fuzzy measure and fuzzy integral for emergency risk coordination of supply chain","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2015876730","doi":"https://doi.org/10.1109/icmlc.2014.7009710","mag":"2015876730"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2014.7009710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-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/A5003356282","display_name":"Guofang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guo-Fang Zhang","raw_affiliation_strings":["Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China","Department of Mathematics and Computer Science, Hebei University, No. 88, ezuo Road, Baoding, 071002, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, Hebei University, No. 88, ezuo Road, Baoding, 071002, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008896921","display_name":"Li-Hui He","orcid":null},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li-Hui He","raw_affiliation_strings":["Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China","Department of Mathematics and Computer Science, Hebei University, No. 88, ezuo Road, Baoding, 071002, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, Hebei University, No. 88, ezuo Road, Baoding, 071002, China","institution_ids":["https://openalex.org/I43337087"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100444238","display_name":"Sen Li","orcid":"https://orcid.org/0000-0002-1177-7339"},"institutions":[{"id":"https://openalex.org/I43337087","display_name":"Hebei University","ror":"https://ror.org/01p884a79","country_code":"CN","type":"education","lineage":["https://openalex.org/I43337087"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sen Li","raw_affiliation_strings":["Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China","Department of Mathematics and Computer Science, Hebei University, No. 88, ezuo Road, Baoding, 071002, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Hebei University, Baoding, Hebei, China","institution_ids":["https://openalex.org/I43337087"]},{"raw_affiliation_string":"Department of Mathematics and Computer Science, Hebei University, No. 88, ezuo Road, Baoding, 071002, China","institution_ids":["https://openalex.org/I43337087"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003356282"],"corresponding_institution_ids":["https://openalex.org/I43337087"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.19834737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"179","issue":null,"first_page":"789","last_page":"795"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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/T10539","display_name":"Sustainable Supply Chain Management","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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/T10328","display_name":"Supply Chain and Inventory Management","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.7085870504379272},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6576082110404968},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5996239185333252},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5862709283828735},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5834131240844727},{"id":"https://openalex.org/keywords/supply-chain-network","display_name":"Supply chain network","score":0.5293462872505188},{"id":"https://openalex.org/keywords/supply-chain-management","display_name":"Supply chain management","score":0.5112924575805664},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4911334216594696},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.45849430561065674},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.44423651695251465},{"id":"https://openalex.org/keywords/fuzzy-measure-theory","display_name":"Fuzzy measure theory","score":0.4382038116455078},{"id":"https://openalex.org/keywords/fuzzy-transportation","display_name":"Fuzzy transportation","score":0.4377674162387848},{"id":"https://openalex.org/keywords/outsourcing","display_name":"Outsourcing","score":0.43712764978408813},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.42739906907081604},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2446015179157257},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14849787950515747}],"concepts":[{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.7085870504379272},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6576082110404968},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5996239185333252},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5862709283828735},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5834131240844727},{"id":"https://openalex.org/C2778397037","wikidata":"https://www.wikidata.org/wiki/Q17083947","display_name":"Supply chain network","level":4,"score":0.5293462872505188},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.5112924575805664},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4911334216594696},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.45849430561065674},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.44423651695251465},{"id":"https://openalex.org/C100516043","wikidata":"https://www.wikidata.org/wiki/Q4455138","display_name":"Fuzzy measure theory","level":5,"score":0.4382038116455078},{"id":"https://openalex.org/C21214244","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy transportation","level":5,"score":0.4377674162387848},{"id":"https://openalex.org/C46934059","wikidata":"https://www.wikidata.org/wiki/Q61515","display_name":"Outsourcing","level":2,"score":0.43712764978408813},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.42739906907081604},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2446015179157257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14849787950515747},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2014.7009710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2014.7009710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Machine Learning and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1481142035","https://openalex.org/W1969287756","https://openalex.org/W1983349387","https://openalex.org/W1987548807","https://openalex.org/W1991510049","https://openalex.org/W1999504788","https://openalex.org/W2006022203","https://openalex.org/W2010499157","https://openalex.org/W2013285825","https://openalex.org/W2021290920","https://openalex.org/W2038742525","https://openalex.org/W2044423959","https://openalex.org/W2055919055","https://openalex.org/W2066712162","https://openalex.org/W2076519385","https://openalex.org/W2083389034","https://openalex.org/W2095371287","https://openalex.org/W2108011724","https://openalex.org/W2490988017","https://openalex.org/W2758690299","https://openalex.org/W2912565176","https://openalex.org/W4211007335"],"related_works":["https://openalex.org/W154865872","https://openalex.org/W2041241614","https://openalex.org/W3040599965","https://openalex.org/W2399109054","https://openalex.org/W2333950445","https://openalex.org/W3201823740","https://openalex.org/W2425342526","https://openalex.org/W2143072948","https://openalex.org/W2037428035","https://openalex.org/W2254123372"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,118,137,151],"novel":[4],"fuzzy-random":[5],"multi-objective":[6,105],"programming":[7],"model":[8,80,116],"is":[9,30,57,67,102,110,171],"proposed":[10,79],"for":[11,117],"the":[12,41,44,75,78,82,85,88,96,114,129,147,166,176],"emergency":[13],"coordination":[14],"of":[15,22,48,87,98,140,150,179],"supply":[16,49,90,121,183],"chain":[17,50,91,122,184],"outsourcing":[18],"risk":[19,51,92,141],"in":[20,182],"presence":[21],"both":[23],"fuzzy":[24,33,36,62,159,180],"uncertainty":[25],"and":[26,35,84,136,160,163,173],"random":[27],"uncertainty.":[28],"It":[29],"based":[31],"on":[32,125],"measure":[34],"integral":[37],"theory,":[38],"which":[39,145],"treat":[40],"interdependence":[42],"among":[43],"customers":[45],"or":[46],"suppliers":[47],"management":[52],"network":[53],"Fuzzy":[54],"set":[55],"theory":[56,66],"employed":[58],"to":[59,69,112,155,175],"deal":[60],"with":[61],"information":[63,72],"while":[64],"utility":[65],"used":[68],"handle":[70],"stochastic":[71,161],"data.":[73],"At":[74],"same":[76],"time,":[77],"considers":[81],"stability":[83],"robustness":[86],"whole":[89],"coordinating":[93,167],"network,":[94],"so":[95],"objective":[97],"achieving":[99],"minimum":[100],"variance":[101],"considered":[103],"into":[104],"optimization":[106],"model.":[107],"An":[108],"algorithm":[109],"presented":[111],"solve":[113],"designed":[115],"three":[119],"stage":[120],"example.":[123],"Based":[124],"statistical":[126],"analysis":[127,139],"techniques,":[128],"experimental":[130],"results":[131],"show":[132],"that":[133],"procurement":[134],"behavior":[135],"suggested":[138],"averse":[142],"by":[143],"computation,":[144],"involves":[146],"less":[148],"preference":[149],"more":[152],"risk-averse":[153],"customer":[154],"ordered":[156],"quantity":[157],"under":[158],"uncertainty,":[162],"also":[164],"indicate":[165],"decision":[168],"making":[169],"program":[170],"steady":[172],"robust":[174],"little":[177],"perturbation":[178],"demand":[181],"network.":[185]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
