{"id":"https://openalex.org/W3097427675","doi":"https://doi.org/10.1155/2020/9762695","title":"A Consistency Check Method for Trusted Hesitant Fuzzy Sets with Confidence Levels Based on a Distance Measure","display_name":"A Consistency Check Method for Trusted Hesitant Fuzzy Sets with Confidence Levels Based on a Distance Measure","publication_year":2020,"publication_date":"2020-10-26","ids":{"openalex":"https://openalex.org/W3097427675","doi":"https://doi.org/10.1155/2020/9762695","mag":"3097427675"},"language":"en","primary_location":{"id":"doi:10.1155/2020/9762695","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/9762695","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9762695.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/9762695.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101731008","display_name":"Huimin Xiao","orcid":"https://orcid.org/0000-0002-2470-3398"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huimin Xiao","raw_affiliation_strings":["Henan University of Economics and Law, Zhengzhou 450046, China"],"raw_orcid":"https://orcid.org/0000-0002-2470-3398","affiliations":[{"raw_affiliation_string":"Henan University of Economics and Law, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100785859","display_name":"Meiqi Wang","orcid":"https://orcid.org/0000-0002-4290-7044"},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiqi Wang","raw_affiliation_strings":["Henan University of Economics and Law, Zhengzhou 450046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan University of Economics and Law, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I7726996"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064537000","display_name":"Xiaoning Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I7726996","display_name":"Henan University of Economic and Law","ror":"https://ror.org/000jtc944","country_code":"CN","type":"education","lineage":["https://openalex.org/I7726996"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoning Xi","raw_affiliation_strings":["Henan University of Economics and Law, Zhengzhou 450046, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan University of Economics and Law, Zhengzhou 450046, China","institution_ids":["https://openalex.org/I7726996"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101731008"],"corresponding_institution_ids":["https://openalex.org/I7726996"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":0.1618,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56203541,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9973000288009644,"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":0.9973000288009644,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9484999775886536,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9301000237464905,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.817328691482544},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.7876108884811401},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6441231966018677},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6328566670417786},{"id":"https://openalex.org/keywords/credibility","display_name":"Credibility","score":0.6262103319168091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5487514138221741},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5340356826782227},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.44491684436798096},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4391064941883087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4342590868473053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3153154253959656},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23194041848182678},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.054563045501708984}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.817328691482544},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.7876108884811401},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6441231966018677},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6328566670417786},{"id":"https://openalex.org/C2780224610","wikidata":"https://www.wikidata.org/wiki/Q1530061","display_name":"Credibility","level":2,"score":0.6262103319168091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5487514138221741},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5340356826782227},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.44491684436798096},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4391064941883087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4342590868473053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3153154253959656},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23194041848182678},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.054563045501708984},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2020/9762695","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/9762695","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9762695.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:9762695","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/9762695.xml","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"},{"id":"pmh:oai:doaj.org/article:8ea1797ef0154ef094da7d45e980b173","is_oa":true,"landing_page_url":"https://doaj.org/article/8ea1797ef0154ef094da7d45e980b173","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2020/9762695","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/9762695","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9762695.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869","https://openalex.org/P4310320595"],"host_organization_lineage_names":["Hindawi Publishing Corporation","Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1466084658","display_name":null,"funder_award_id":"2021-ZZJH-020","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"},{"id":"https://openalex.org/G4377630851","display_name":null,"funder_award_id":"2020-YYZD-02","funder_id":"https://openalex.org/F4320322878","funder_display_name":"Henan University"}],"funders":[{"id":"https://openalex.org/F4320322878","display_name":"Henan University","ror":"https://ror.org/003xyzq10"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3097427675.pdf","grobid_xml":"https://content.openalex.org/works/W3097427675.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W896919041","https://openalex.org/W1975213758","https://openalex.org/W1991419869","https://openalex.org/W1999943538","https://openalex.org/W2001201684","https://openalex.org/W2002226861","https://openalex.org/W2016591315","https://openalex.org/W2032066396","https://openalex.org/W2046572363","https://openalex.org/W2060589859","https://openalex.org/W2096606944","https://openalex.org/W2113532413","https://openalex.org/W2118003794","https://openalex.org/W2167510151","https://openalex.org/W2167967165","https://openalex.org/W2548435430","https://openalex.org/W2561773496","https://openalex.org/W2802658332","https://openalex.org/W2803230675","https://openalex.org/W2840812305","https://openalex.org/W2995662157","https://openalex.org/W3006208480","https://openalex.org/W4239165868"],"related_works":["https://openalex.org/W2388687352","https://openalex.org/W2370187191","https://openalex.org/W1990162851","https://openalex.org/W2369854048","https://openalex.org/W2374291020","https://openalex.org/W2355907197","https://openalex.org/W3171042291","https://openalex.org/W2390961115","https://openalex.org/W2388138913","https://openalex.org/W2385288613"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,16,38],"consistency":[4,57],"check":[5],"method":[6],"for":[7,42],"hesitant":[8,59],"fuzzy":[9,26,60],"sets":[10],"with":[11],"confidence":[12],"levels":[13],"by":[14,46],"employing":[15],"distance":[17,40],"measure.":[18],"Firstly,":[19],"we":[20,54],"analyze":[21],"the":[22,48,52,56,70,75],"difference":[23],"between":[24],"each":[25,43],"element":[27],"and":[28,35,72],"its":[29],"corresponding":[30],"attribute":[31],"comprehensive":[32,39],"decision":[33],"value":[34],"then":[36],"obtain":[37],"measure":[41],"attribute.":[44],"Subsequently,":[45],"taking":[47],"relative":[49],"credibility":[50],"as":[51],"weight,":[53],"assess":[55],"of":[58,74],"sets.":[61],"Finally,":[62],"numerical":[63],"examples":[64],"are":[65],"put":[66],"forward":[67],"to":[68],"verify":[69],"effectiveness":[71],"reliability":[73],"proposed":[76],"method.":[77]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}