{"id":"https://openalex.org/W2156269832","doi":"https://doi.org/10.1109/ijcnn.2010.5596526","title":"A hybrid grey-fuzzy-neural networks model for enterprises' bankruptcy","display_name":"A hybrid grey-fuzzy-neural networks model for enterprises' bankruptcy","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2156269832","doi":"https://doi.org/10.1109/ijcnn.2010.5596526","mag":"2156269832"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2010.5596526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","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/A5001954782","display_name":"Emil Scarlat","orcid":null},"institutions":[{"id":"https://openalex.org/I141595442","display_name":"University of Bucharest","ror":"https://ror.org/02x2v6p15","country_code":"RO","type":"education","lineage":["https://openalex.org/I141595442"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Emil Scarlat","raw_affiliation_strings":["Department of Cybernetics, University of Economics, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cybernetics, University of Economics, Bucharest, Romania","institution_ids":["https://openalex.org/I141595442"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024081062","display_name":"Camelia Delcea","orcid":"https://orcid.org/0000-0003-3589-1969"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Camelia Delcea","raw_affiliation_strings":["University of Economics, Bucharest, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Economics, Bucharest, Romania","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.27665262,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"9","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T12368","display_name":"Grey System Theory Applications","score":0.9861999750137329,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bankruptcy","display_name":"Bankruptcy","score":0.7221398949623108},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6757864952087402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6545799970626831},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5925171375274658},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5597145557403564},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5525097846984863},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5140946507453918},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4458511471748352},{"id":"https://openalex.org/keywords/interconnection","display_name":"Interconnection","score":0.43066734075546265},{"id":"https://openalex.org/keywords/cybernetics","display_name":"Cybernetics","score":0.41277840733528137},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3810335397720337},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3593395948410034},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.343284547328949},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1434258222579956},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.10532006621360779},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.09131765365600586},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07012677192687988}],"concepts":[{"id":"https://openalex.org/C504631918","wikidata":"https://www.wikidata.org/wiki/Q152074","display_name":"Bankruptcy","level":2,"score":0.7221398949623108},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6757864952087402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545799970626831},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5925171375274658},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5597145557403564},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5525097846984863},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5140946507453918},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4458511471748352},{"id":"https://openalex.org/C123745756","wikidata":"https://www.wikidata.org/wiki/Q1665949","display_name":"Interconnection","level":2,"score":0.43066734075546265},{"id":"https://openalex.org/C115286129","wikidata":"https://www.wikidata.org/wiki/Q123637","display_name":"Cybernetics","level":2,"score":0.41277840733528137},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3810335397720337},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3593395948410034},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.343284547328949},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1434258222579956},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.10532006621360779},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.09131765365600586},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07012677192687988},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2010.5596526","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2010.5596526","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 2010 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.41999998688697815,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W182476373","https://openalex.org/W658012587","https://openalex.org/W1489475437","https://openalex.org/W1964074981","https://openalex.org/W1974939422","https://openalex.org/W1987054329","https://openalex.org/W1989869972","https://openalex.org/W1995953281","https://openalex.org/W2001121290","https://openalex.org/W2001412000","https://openalex.org/W2002579289","https://openalex.org/W2005971019","https://openalex.org/W2007871702","https://openalex.org/W2007983128","https://openalex.org/W2011414287","https://openalex.org/W2014647052","https://openalex.org/W2016207894","https://openalex.org/W2017153168","https://openalex.org/W2018233779","https://openalex.org/W2020848494","https://openalex.org/W2026501592","https://openalex.org/W2027645392","https://openalex.org/W2037323795","https://openalex.org/W2037614014","https://openalex.org/W2042351117","https://openalex.org/W2047649690","https://openalex.org/W2048801439","https://openalex.org/W2050957348","https://openalex.org/W2062634819","https://openalex.org/W2065052734","https://openalex.org/W2071270327","https://openalex.org/W2084725963","https://openalex.org/W2095150669","https://openalex.org/W2096768134","https://openalex.org/W2097752063","https://openalex.org/W2121069620","https://openalex.org/W2124532504","https://openalex.org/W2135411679","https://openalex.org/W2147042167","https://openalex.org/W2162524637","https://openalex.org/W2163502483","https://openalex.org/W2164929187","https://openalex.org/W2165798034","https://openalex.org/W2314105684","https://openalex.org/W2496352033","https://openalex.org/W3124954739","https://openalex.org/W4214831569","https://openalex.org/W4230474071","https://openalex.org/W4253657378","https://openalex.org/W6629383026","https://openalex.org/W6659476290","https://openalex.org/W6684766515"],"related_works":["https://openalex.org/W226730667","https://openalex.org/W1992148920","https://openalex.org/W4387906327","https://openalex.org/W201323158","https://openalex.org/W2045833707","https://openalex.org/W2509670760","https://openalex.org/W1814369816","https://openalex.org/W4387906433","https://openalex.org/W2006997639","https://openalex.org/W2389144530"],"abstract_inverted_index":{"This":[0],"paper":[1],"attempts":[2],"to":[3,56,102],"put":[4],"forward":[5],"a":[6,80,91],"hybrid":[7],"model":[8,82,87],"which":[9],"combines":[10],"the":[11,28,32,66,75,105],"advantages":[12],"offered":[13],"by":[14],"grey":[15,38],"systems":[16,39],"theory,":[17],"fuzzy":[18],"theory":[19,40],"and":[20,36],"neural":[21,47],"networks.":[22],"While":[23],"\u03c6":[24],"-fuzzy":[25],"sub-set":[26],"offers":[27],"suitable":[29],"tools":[30],"for":[31,43],"treatment":[33],"of":[34,83],"uncertainty":[35],"subjectivity,":[37],"is":[41,52,98],"used":[42,53],"variables":[44],"selection.":[45],"Also,":[46],"networks":[48],"pattern":[49,84],"recognition":[50],"facility":[51],"in":[54,74,89,100],"order":[55,101],"determine":[57],"each":[58],"company's":[59],"bankruptcy":[60],"stage":[61],"through":[62],"its":[63],"interconnection":[64],"with":[65,79],"other":[67],"companies":[68],"that":[69],"are":[70],"conducting":[71],"their":[72],"business":[73],"same":[76],"field.":[77],"Compared":[78],"simple":[81],"recognition,":[85],"our":[86],"succeeded":[88],"getting":[90],"higher":[92],"accuracy":[93],"rate.":[94],"A":[95],"numerical":[96],"example":[97],"presented":[99],"better":[103],"understand":[104],"proposed":[106],"model.":[107]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
