{"id":"https://openalex.org/W3045558933","doi":"https://doi.org/10.3233/jifs-191374","title":"A novel q-rung orthopair fuzzy TODIM approach for multi-criteria group decision making based on Shapley value and relative entropy","display_name":"A novel q-rung orthopair fuzzy TODIM approach for multi-criteria group decision making based on Shapley value and relative entropy","publication_year":2020,"publication_date":"2020-07-28","ids":{"openalex":"https://openalex.org/W3045558933","doi":"https://doi.org/10.3233/jifs-191374","mag":"3045558933"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-191374","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191374","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & 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/A5102929630","display_name":"Liuxin Chen","orcid":"https://orcid.org/0000-0002-9720-459X"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liuxin Chen","raw_affiliation_strings":["Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017059869","display_name":"Nanfang Luo","orcid":"https://orcid.org/0009-0000-0147-1005"},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanfang Luo","raw_affiliation_strings":["Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China","institution_ids":["https://openalex.org/I10535382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003925765","display_name":"Xiaoling Gou","orcid":null},"institutions":[{"id":"https://openalex.org/I10535382","display_name":"Chongqing University of Posts and Telecommunications","ror":"https://ror.org/03dgaqz26","country_code":"CN","type":"education","lineage":["https://openalex.org/I10535382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Gou","raw_affiliation_strings":["Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Intelligent Analysis and Decision on Complex Systems, Chongqing University of Posts and Telecommunications, Chongqing, P.R.China","institution_ids":["https://openalex.org/I10535382"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5102929630"],"corresponding_institution_ids":["https://openalex.org/I10535382"],"apc_list":null,"apc_paid":null,"fwci":2.1624,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8830762,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"40","issue":"1","first_page":"235","last_page":"250"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":1.0,"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":1.0,"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/T12709","display_name":"Optimization and Mathematical Programming","score":0.9815000295639038,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9692000150680542,"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/entropy","display_name":"Entropy (arrow of time)","score":0.6451183557510376},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.6432098150253296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5760911703109741},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5024280548095703},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5013062953948975},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45006808638572693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4492664039134979},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32865673303604126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2924097776412964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11518970131874084}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6451183557510376},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.6432098150253296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5760911703109741},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5024280548095703},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5013062953948975},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45006808638572693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4492664039134979},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32865673303604126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2924097776412964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11518970131874084},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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:10.3233/jifs-191374","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-191374","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1505984895","https://openalex.org/W1584722645","https://openalex.org/W1668569279","https://openalex.org/W1980564456","https://openalex.org/W1981107087","https://openalex.org/W1981963907","https://openalex.org/W2008818676","https://openalex.org/W2019633123","https://openalex.org/W2026244788","https://openalex.org/W2029074979","https://openalex.org/W2037351862","https://openalex.org/W2041946752","https://openalex.org/W2043840646","https://openalex.org/W2067357932","https://openalex.org/W2082669644","https://openalex.org/W2099469179","https://openalex.org/W2156437228","https://openalex.org/W2201498186","https://openalex.org/W2260241823","https://openalex.org/W2292359941","https://openalex.org/W2305863142","https://openalex.org/W2393176707","https://openalex.org/W2396040005","https://openalex.org/W2464342393","https://openalex.org/W2514754342","https://openalex.org/W2530583575","https://openalex.org/W2570038283","https://openalex.org/W2579304191","https://openalex.org/W2604920622","https://openalex.org/W2618321331","https://openalex.org/W2668279377","https://openalex.org/W2731433357","https://openalex.org/W2746747652","https://openalex.org/W2751818504","https://openalex.org/W2754194108","https://openalex.org/W2756292711","https://openalex.org/W2769278513","https://openalex.org/W2769620219","https://openalex.org/W2789793672","https://openalex.org/W2790677216","https://openalex.org/W2790795792","https://openalex.org/W2791409472","https://openalex.org/W2791638390","https://openalex.org/W2800496388","https://openalex.org/W2803805496","https://openalex.org/W2807989632","https://openalex.org/W2884166416","https://openalex.org/W2906568202","https://openalex.org/W6683177774","https://openalex.org/W6692982289","https://openalex.org/W6697397043","https://openalex.org/W6744338458","https://openalex.org/W6752747644","https://openalex.org/W6757560855","https://openalex.org/W6764990550"],"related_works":["https://openalex.org/W1982572960","https://openalex.org/W1516195074","https://openalex.org/W2368536301","https://openalex.org/W2333062296","https://openalex.org/W2738546080","https://openalex.org/W2390411038","https://openalex.org/W2917056084","https://openalex.org/W2390183798","https://openalex.org/W2401752011","https://openalex.org/W2025532752"],"abstract_inverted_index":{"In":[0],"the":[1,22,27,31,60,67,70,99,102,112,127,130,135,159,162],"real":[2],"multi-criteria":[3],"group":[4,48],"decision":[5,17,49],"making":[6,50],"(MCGDM)":[7],"problems,":[8,96],"there":[9],"will":[10],"be":[11],"an":[12],"interactive":[13],"relationship":[14],"among":[15],"different":[16],"makers":[18],"(DMs).":[19],"To":[20],"identify":[21],"overall":[23],"influence,":[24],"we":[25,53],"define":[26],"Shapley":[28,109],"value":[29],"as":[30,79],"DM\u2019s":[32],"weight.":[33],"Entropy":[34],"is":[35,81,91,138,155],"a":[36,47,55,75,141],"measure":[37,59,121],"which":[38,65,98],"makes":[39],"it":[40],"better":[41],"than":[42],"similarity":[43],"measures":[44],"to":[45,58,157],"recognize":[46],"problem.":[51],"Since":[52],"propose":[54],"relative":[56,119],"entropy":[57,120],"difference":[61],"between":[62],"two":[63],"systems,":[64],"improves":[66],"accuracy":[68],"of":[69,101,108,129,144,161],"distance":[71],"measure.In":[72],"this":[73],"paper,":[74],"MCGDM":[76,95],"approach":[77,90],"named":[78],"TODIM":[80,89,137],"presented":[82,156],"under":[83],"q-rung":[84,123],"orthopair":[85,124],"fuzzy":[86,125],"information.The":[87],"proposed":[88,131],"developed":[92],"for":[93],"correlative":[94],"in":[97,106],"weights":[100],"DMs":[103],"are":[104,115],"calculated":[105],"terms":[107],"values":[110],"and":[111,134],"dominance":[113],"matrices":[114],"evaluated":[116],"based":[117],"on":[118],"with":[122,152],"information.Furthermore,":[126],"efficacy":[128],"Gq-ROFWA":[132],"operator":[133],"novel":[136],"demonstrated":[139],"through":[140],"selection":[142],"problem":[143],"modern":[145],"enterprises":[146],"risk":[147],"investment.":[148],"A":[149],"comparative":[150],"analysis":[151],"existing":[153],"methods":[154],"validate":[158],"efficiency":[160],"approach.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}