{"id":"https://openalex.org/W3137828538","doi":"https://doi.org/10.1155/2021/6628745","title":"Picture Fuzzy TOPSIS Method Based on CPFRS Model: An Application to Risk Management Problems","display_name":"Picture Fuzzy TOPSIS Method Based on CPFRS Model: An Application to Risk Management Problems","publication_year":2021,"publication_date":"2021-03-17","ids":{"openalex":"https://openalex.org/W3137828538","doi":"https://doi.org/10.1155/2021/6628745","mag":"3137828538"},"language":"en","primary_location":{"id":"doi:10.1155/2021/6628745","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6628745","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6628745.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"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":"Scientific Programming","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/sp/2021/6628745.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080121952","display_name":"Jiulin Jin","orcid":"https://orcid.org/0000-0002-9112-7626"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiulin Jin","raw_affiliation_strings":["School of Mathematical Sciences, Guizhou Normal University, Guiyang 550001, Guizhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9112-7626","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Guizhou Normal University, Guiyang 550001, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012322362","display_name":"Ping Zhao","orcid":"https://orcid.org/0000-0003-0907-9926"},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Zhao","raw_affiliation_strings":["School of Mathematical Sciences, Guizhou Normal University, Guiyang 550001, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Guizhou Normal University, Guiyang 550001, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108435918","display_name":"Taijie You","orcid":null},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taijie You","raw_affiliation_strings":["School of Mathematical Sciences, Guizhou Normal University, Guiyang 550001, Guizhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Guizhou Normal University, Guiyang 550001, Guizhou, China","institution_ids":["https://openalex.org/I154893126"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5080121952"],"corresponding_institution_ids":["https://openalex.org/I154893126"],"apc_list":{"value":2000,"currency":"USD","value_usd":2000},"apc_paid":{"value":2000,"currency":"USD","value_usd":2000},"fwci":1.7101,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.85852253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9984999895095825,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9975000023841858,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.8627679347991943},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.7639929056167603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5941845178604126},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5898531675338745},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5571957230567932},{"id":"https://openalex.org/keywords/ideal-solution","display_name":"Ideal solution","score":0.5305279493331909},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.47869542241096497},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4632011950016022},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4547514021396637},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.4265420436859131},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3417946696281433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3183481693267822},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.2804352641105652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22480526566505432},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07643401622772217}],"concepts":[{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.8627679347991943},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.7639929056167603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5941845178604126},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5898531675338745},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5571957230567932},{"id":"https://openalex.org/C89591040","wikidata":"https://www.wikidata.org/wiki/Q1779030","display_name":"Ideal solution","level":2,"score":0.5305279493331909},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.47869542241096497},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4632011950016022},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4547514021396637},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.4265420436859131},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3417946696281433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3183481693267822},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2804352641105652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22480526566505432},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07643401622772217},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"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":2,"locations":[{"id":"doi:10.1155/2021/6628745","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6628745","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6628745.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"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":"Scientific Programming","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5880d9b6550c4fffad0dad7ce9af1a3a","is_oa":false,"landing_page_url":"https://doaj.org/article/5880d9b6550c4fffad0dad7ce9af1a3a","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scientific Programming, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/6628745","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/6628745","pdf_url":"https://downloads.hindawi.com/journals/sp/2021/6628745.pdf","source":{"id":"https://openalex.org/S166774750","display_name":"Scientific Programming","issn_l":"1058-9244","issn":["1058-9244","1875-919X"],"is_oa":false,"is_in_doaj":false,"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":"Scientific Programming","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G2665366902","display_name":null,"funder_award_id":"11461014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3224596159","display_name":null,"funder_award_id":"GZNUD[2019]13","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6320469148","display_name":null,"funder_award_id":"GZNUD[2019]13","funder_id":"https://openalex.org/F4320321926","funder_display_name":"Guizhou Normal University"},{"id":"https://openalex.org/G6603153300","display_name":null,"funder_award_id":"11461014","funder_id":"https://openalex.org/F4320321926","funder_display_name":"Guizhou Normal University"},{"id":"https://openalex.org/G7024628391","display_name":null,"funder_award_id":"[2019]","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321926","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3137828538.pdf","grobid_xml":"https://content.openalex.org/works/W3137828538.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W279998616","https://openalex.org/W1980564456","https://openalex.org/W2002680690","https://openalex.org/W2010107561","https://openalex.org/W2013932252","https://openalex.org/W2027654459","https://openalex.org/W2042102899","https://openalex.org/W2055266411","https://openalex.org/W2112195158","https://openalex.org/W2248217189","https://openalex.org/W2341242281","https://openalex.org/W2463044584","https://openalex.org/W2470897470","https://openalex.org/W2507500447","https://openalex.org/W2526107180","https://openalex.org/W2611011107","https://openalex.org/W2624112931","https://openalex.org/W2732388576","https://openalex.org/W2734543528","https://openalex.org/W2770478750","https://openalex.org/W2771288112","https://openalex.org/W2784007560","https://openalex.org/W2784775847","https://openalex.org/W2797255169","https://openalex.org/W2799305415","https://openalex.org/W2804672956","https://openalex.org/W2815079924","https://openalex.org/W2885144759","https://openalex.org/W2896017664","https://openalex.org/W2896141939","https://openalex.org/W2896634720","https://openalex.org/W2898322660","https://openalex.org/W2901104715","https://openalex.org/W2901776415","https://openalex.org/W2901786337","https://openalex.org/W2906129818","https://openalex.org/W2908333255","https://openalex.org/W2919513668","https://openalex.org/W2921005059","https://openalex.org/W2922137509","https://openalex.org/W2937591803","https://openalex.org/W2944795440","https://openalex.org/W2946824468","https://openalex.org/W2952311754","https://openalex.org/W2952314276","https://openalex.org/W2953160093","https://openalex.org/W2955808479","https://openalex.org/W2963025538","https://openalex.org/W2968470723","https://openalex.org/W2972083920","https://openalex.org/W2973030773","https://openalex.org/W2976998768","https://openalex.org/W2988929081","https://openalex.org/W2991428249","https://openalex.org/W2995967544","https://openalex.org/W3000706679","https://openalex.org/W3007135156","https://openalex.org/W3011599295","https://openalex.org/W3012345100","https://openalex.org/W3012546479","https://openalex.org/W3029635389","https://openalex.org/W3043586643","https://openalex.org/W3045107841","https://openalex.org/W3049148438","https://openalex.org/W3057540913","https://openalex.org/W3081311610","https://openalex.org/W3089275498","https://openalex.org/W3113639899","https://openalex.org/W3118252219","https://openalex.org/W4211007335","https://openalex.org/W4255833381","https://openalex.org/W6645914205","https://openalex.org/W6690934188"],"related_works":["https://openalex.org/W2775045317","https://openalex.org/W2612149696","https://openalex.org/W2347675019","https://openalex.org/W2367947563","https://openalex.org/W2890644467","https://openalex.org/W2293394021","https://openalex.org/W4387430003","https://openalex.org/W3135485754","https://openalex.org/W3154161952","https://openalex.org/W2778781604"],"abstract_inverted_index":{"It":[0],"is":[1,77,113],"not":[2],"widely":[3],"acknowledged":[4],"that":[5],"multicriteria":[6],"decision-making":[7,29],"(MCDM)":[8],"problems":[9,83],"in":[10],"some":[11,19,57,106],"particular":[12],"circumstances":[13],"cannot":[14],"be":[15,119],"effectively":[16,32],"solved":[17],"by":[18,48,62],"traditional":[20],"methods.":[21],"This":[22],"paper":[23],"aims":[24],"to":[25,31,79,93,121],"construct":[26],"a":[27,40,74,122],"novel":[28],"method":[30,76,92,104,112],"solve":[33,80],"these":[34],"MCDM":[35,82,108],"problems.":[36],"Firstly,":[37],"we":[38,88],"propose":[39],"covering-based":[41],"picture":[42,51],"fuzzy":[43,52],"rough":[44],"set":[45],"(CPFRS)":[46],"model":[47,67],"combining":[49,63],"the":[50,64,69,81,94,102,110],"(PF)":[53],"neighborhood":[54],"operator":[55],"and":[56,115,117],"PF":[58,85],"logical":[59],"operators.":[60],"Secondly,":[61],"proposed":[65,78,91,103],"CPFRS":[66],"with":[68,105],"principle":[70],"of":[71,97,125],"TOPSIS":[72],"method,":[73],"new":[75],"under":[84],"environments.":[86,126],"Finally,":[87],"apply":[89],"our":[90],"risk":[95],"management":[96],"green":[98],"buildings.":[99],"By":[100],"comparing":[101],"existing":[107],"methods,":[109],"established":[111],"effective":[114],"flexible":[116],"can":[118],"applied":[120],"wide":[123],"range":[124]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
