{"id":"https://openalex.org/W3041899150","doi":"https://doi.org/10.1109/tfuzz.2020.3007423","title":"Three-Way Multiattribute Decision-Making Based on Outranking Relations","display_name":"Three-Way Multiattribute Decision-Making Based on Outranking Relations","publication_year":2020,"publication_date":"2020-07-07","ids":{"openalex":"https://openalex.org/W3041899150","doi":"https://doi.org/10.1109/tfuzz.2020.3007423","mag":"3041899150"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2020.3007423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.3007423","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-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/A5100691996","display_name":"Jianming Zhan","orcid":"https://orcid.org/0000-0003-2510-9515"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Zhan","raw_affiliation_strings":["Department of Mathematics, Hubei Minzu University, Enshi, China"],"raw_orcid":"https://orcid.org/0000-0003-2510-9515","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hubei Minzu University, Enshi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067810883","display_name":"Haibo Jiang","orcid":"https://orcid.org/0000-0002-7665-3417"},"institutions":[{"id":"https://openalex.org/I145897649","display_name":"Minzu University of China","ror":"https://ror.org/0044e2g62","country_code":"CN","type":"education","lineage":["https://openalex.org/I145897649"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haibo Jiang","raw_affiliation_strings":["Department of Mathematics, Hubei Minzu University, Enshi, China"],"raw_orcid":"https://orcid.org/0000-0002-7665-3417","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Hubei Minzu University, Enshi, China","institution_ids":["https://openalex.org/I145897649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063696855","display_name":"Yiyu Yao","orcid":"https://orcid.org/0000-0001-6502-6226"},"institutions":[{"id":"https://openalex.org/I194028371","display_name":"University of Regina","ror":"https://ror.org/03dzc0485","country_code":"CA","type":"education","lineage":["https://openalex.org/I194028371"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yiyu Yao","raw_affiliation_strings":["Department of Computer Science, University of Regina, Regina, SK, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Regina, Regina, SK, Canada","institution_ids":["https://openalex.org/I194028371"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.2809,"has_fulltext":false,"cited_by_count":237,"citation_normalized_percentile":{"value":0.99524793,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":"10","first_page":"2844","last_page":"2858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9591000080108643,"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/decision-matrix","display_name":"Decision matrix","score":0.6447700262069702},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.60682612657547},{"id":"https://openalex.org/keywords/electre","display_name":"ELECTRE","score":0.5946496725082397},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5670143365859985},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5556678771972656},{"id":"https://openalex.org/keywords/rationality","display_name":"Rationality","score":0.5384535193443298},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5266114473342896},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5084056258201599},{"id":"https://openalex.org/keywords/decision-analysis","display_name":"Decision analysis","score":0.43125107884407043},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41076067090034485},{"id":"https://openalex.org/keywords/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.377052903175354},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3729478120803833},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3412405252456665},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2575899660587311},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2557130455970764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24218851327896118},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.07710275053977966}],"concepts":[{"id":"https://openalex.org/C137402852","wikidata":"https://www.wikidata.org/wiki/Q5249239","display_name":"Decision matrix","level":2,"score":0.6447700262069702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.60682612657547},{"id":"https://openalex.org/C47431972","wikidata":"https://www.wikidata.org/wiki/Q3045948","display_name":"ELECTRE","level":3,"score":0.5946496725082397},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5670143365859985},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5556678771972656},{"id":"https://openalex.org/C201717286","wikidata":"https://www.wikidata.org/wiki/Q938185","display_name":"Rationality","level":2,"score":0.5384535193443298},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5266114473342896},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5084056258201599},{"id":"https://openalex.org/C186116695","wikidata":"https://www.wikidata.org/wiki/Q5249226","display_name":"Decision analysis","level":2,"score":0.43125107884407043},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41076067090034485},{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.377052903175354},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3729478120803833},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3412405252456665},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2575899660587311},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2557130455970764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24218851327896118},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.07710275053977966},{"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/tfuzz.2020.3007423","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.3007423","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1963055153","display_name":"\u8986\u76d6\u591a\u7c92\u5ea6Pythagorean\u6a21\u7cca\u7c97\u7cd9\u96c6\u53ca\u591a\u5c5e\u6027\u51b3\u7b56\u7814\u7a76","funder_award_id":"61866011","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1985386304","display_name":null,"funder_award_id":"11960125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4874409704","display_name":"\u57fa\u4e8e\u7c97\u7cd9\u8f6f\u96c6\u7684(m, n)\u5143(\u8d85)\u534a\u73af\u7814\u7a76","funder_award_id":"11561023","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W101345952","https://openalex.org/W964455177","https://openalex.org/W1021182246","https://openalex.org/W1593694652","https://openalex.org/W1704544815","https://openalex.org/W1808687169","https://openalex.org/W1861960977","https://openalex.org/W1965473535","https://openalex.org/W1984880160","https://openalex.org/W1989393769","https://openalex.org/W1995875735","https://openalex.org/W2007929615","https://openalex.org/W2020275683","https://openalex.org/W2023750115","https://openalex.org/W2048472139","https://openalex.org/W2060952501","https://openalex.org/W2061963820","https://openalex.org/W2070813883","https://openalex.org/W2080404663","https://openalex.org/W2081474170","https://openalex.org/W2084718108","https://openalex.org/W2130104797","https://openalex.org/W2145020281","https://openalex.org/W2162755671","https://openalex.org/W2217596628","https://openalex.org/W2280338761","https://openalex.org/W2282429601","https://openalex.org/W2297889545","https://openalex.org/W2345465422","https://openalex.org/W2501558883","https://openalex.org/W2506768821","https://openalex.org/W2519971059","https://openalex.org/W2549504134","https://openalex.org/W2580984945","https://openalex.org/W2605263372","https://openalex.org/W2745338840","https://openalex.org/W2748250791","https://openalex.org/W2758872644","https://openalex.org/W2889077617","https://openalex.org/W2892294644","https://openalex.org/W2899562587","https://openalex.org/W2911043813","https://openalex.org/W2947320457","https://openalex.org/W2947337711","https://openalex.org/W2949312167","https://openalex.org/W2974996171","https://openalex.org/W2989196101","https://openalex.org/W2991303602","https://openalex.org/W3000296568","https://openalex.org/W3001821705","https://openalex.org/W4243419638","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2759034519","https://openalex.org/W2765751770","https://openalex.org/W2143984145","https://openalex.org/W2762200401","https://openalex.org/W2799947401","https://openalex.org/W1989330523","https://openalex.org/W2097618613","https://openalex.org/W2147551390","https://openalex.org/W1996547280","https://openalex.org/W2007457640"],"abstract_inverted_index":{"In":[0],"contrast":[1],"to":[2,62],"two-way":[3],"decisions":[4,7],"(2WD),":[5],"three-way":[6],"(3WD)":[8],"can":[9],"effectively":[10],"reduce":[11],"decision":[12,19],"risks":[13],"by":[14,81],"utilizing":[15],"a":[16,44,54,64,83],"new":[17,65],"delayed":[18],"option.":[20],"This":[21],"article":[22],"incorporates":[23],"3WD":[24,66,77,107],"into":[25],"multiattribute":[26],"decision-making":[27],"(MADM)":[28],"based":[29],"on":[30],"an":[31,50],"outranking":[32],"relation.":[33],"We":[34,58],"construct":[35],"the":[36,75,94,105],"outranked":[37],"set":[38],"for":[39,68],"each":[40],"alternative":[41],"and":[42,72,97,111],"introduce":[43],"hybrid":[45],"information":[46],"table":[47],"that":[48,104],"combines":[49],"MADM":[51],"matrix":[52],"with":[53],"loss":[55],"function":[56],"table.":[57],"propose":[59],"three":[60],"strategies":[61],"design":[63],"model":[67],"MADM.":[69],"The":[70,101],"rationality":[71],"effectiveness":[73],"of":[74,85],"proposed":[76,106],"method":[78,108],"are":[79],"demonstrated":[80],"solving":[82],"problem":[84],"enterprise":[86],"project":[87],"investment":[88],"target":[89],"selections.":[90],"Finally,":[91],"we":[92],"provide":[93],"comparative":[95],"analysis":[96],"two":[98],"experimental":[99],"evaluations.":[100],"results":[102],"show":[103],"is":[109],"effective":[110],"practically":[112],"useful.":[113]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":41},{"year":2023,"cited_by_count":40},{"year":2022,"cited_by_count":58},{"year":2021,"cited_by_count":50},{"year":2020,"cited_by_count":12}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}