{"id":"https://openalex.org/W4367852667","doi":"https://doi.org/10.1007/s00500-023-08079-y","title":"A novel linguistic decision making approach based on attribute correlation and EDAS method","display_name":"A novel linguistic decision making approach based on attribute correlation and EDAS method","publication_year":2023,"publication_date":"2023-05-02","ids":{"openalex":"https://openalex.org/W4367852667","doi":"https://doi.org/10.1007/s00500-023-08079-y"},"language":"en","primary_location":{"id":"doi:10.1007/s00500-023-08079-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-023-08079-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-023-08079-y.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00500-023-08079-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103192755","display_name":"Qingzhao Li","orcid":"https://orcid.org/0000-0003-0340-795X"},"institutions":[{"id":"https://openalex.org/I102345215","display_name":"Xihua University","ror":"https://ror.org/04gwtvf26","country_code":"CN","type":"education","lineage":["https://openalex.org/I102345215"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingzhao Li","raw_affiliation_strings":["School of Sciences, Xi Hua University, Chengdu, 610039, Sichuan, People\u2019s Republic of China","School of Sciences, Xi Hua University, Chengdu, 610039, Sichuan, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sciences, Xi Hua University, Chengdu, 610039, Sichuan, People\u2019s Republic of China","institution_ids":["https://openalex.org/I102345215"]},{"raw_affiliation_string":"School of Sciences, Xi Hua University, Chengdu, 610039, Sichuan, People's Republic of China","institution_ids":["https://openalex.org/I102345215"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066810703","display_name":"Yuan Rong","orcid":"https://orcid.org/0000-0001-7576-5276"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Rong","raw_affiliation_strings":["School of Management, Shanghai University, Shanghai, 200444, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Management, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046280013","display_name":"Zheng Pei","orcid":"https://orcid.org/0000-0001-5757-6607"},"institutions":[{"id":"https://openalex.org/I113940042","display_name":"Shanghai University","ror":"https://ror.org/006teas31","country_code":"CN","type":"education","lineage":["https://openalex.org/I113940042"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zheng Pei","raw_affiliation_strings":["School of Management, Shanghai University, Shanghai, 200444, China"],"raw_orcid":"https://orcid.org/0000-0001-5757-6607","affiliations":[{"raw_affiliation_string":"School of Management, Shanghai University, Shanghai, 200444, China","institution_ids":["https://openalex.org/I113940042"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112125555","display_name":"Fangling Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102412","display_name":"Yan'an University","ror":"https://ror.org/01dyr7034","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210102412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangling Ren","raw_affiliation_strings":["College of Mathematics and Computer Science, Yan\u2019an University, Yan\u2019an, Shaanxi, China","College of Mathematics and Computer Science, Yan'an University, Yan'an, Shaanxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Yan\u2019an University, Yan\u2019an, Shaanxi, China","institution_ids":["https://openalex.org/I4210102412"]},{"raw_affiliation_string":"College of Mathematics and Computer Science, Yan'an University, Yan'an, Shaanxi, China","institution_ids":["https://openalex.org/I4210102412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5046280013"],"corresponding_institution_ids":["https://openalex.org/I113940042"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.6483,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.84392004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"27","issue":"12","first_page":"7751","last_page":"7771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9994999766349792,"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":0.9994999766349792,"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/T13058","display_name":"Soil and Land Suitability Analysis","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2308","display_name":"Management, Monitoring, Policy and Law"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9311000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5551285743713379},{"id":"https://openalex.org/keywords/edas","display_name":"EDAS","score":0.5428680181503296},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49399715662002563},{"id":"https://openalex.org/keywords/group-decision-making","display_name":"Group decision-making","score":0.4762963354587555},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4632689952850342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4404643177986145},{"id":"https://openalex.org/keywords/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.42485445737838745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3285626769065857},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.1726154088973999},{"id":"https://openalex.org/keywords/estimation-of-distribution-algorithm","display_name":"Estimation of distribution algorithm","score":0.0743509829044342}],"concepts":[{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5551285743713379},{"id":"https://openalex.org/C49284225","wikidata":"https://www.wikidata.org/wiki/Q5322829","display_name":"EDAS","level":3,"score":0.5428680181503296},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49399715662002563},{"id":"https://openalex.org/C20701700","wikidata":"https://www.wikidata.org/wiki/Q388791","display_name":"Group decision-making","level":2,"score":0.4762963354587555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4632689952850342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4404643177986145},{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.42485445737838745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3285626769065857},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.1726154088973999},{"id":"https://openalex.org/C162500139","wikidata":"https://www.wikidata.org/wiki/Q2835887","display_name":"Estimation of distribution algorithm","level":2,"score":0.0743509829044342},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00500-023-08079-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-023-08079-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-023-08079-y.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00500-023-08079-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00500-023-08079-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00500-023-08079-y.pdf","source":{"id":"https://openalex.org/S65753830","display_name":"Soft Computing","issn_l":"1432-7643","issn":["1432-7643","1433-7479"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8100000023841858,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G7666416722","display_name":null,"funder_award_id":"2023NSFSC0063","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4367852667.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W594625170","https://openalex.org/W979059312","https://openalex.org/W1137073519","https://openalex.org/W1546970449","https://openalex.org/W1580581679","https://openalex.org/W1971403896","https://openalex.org/W1980564456","https://openalex.org/W2079024311","https://openalex.org/W2117827905","https://openalex.org/W2259660946","https://openalex.org/W2535483340","https://openalex.org/W2604308625","https://openalex.org/W2732135403","https://openalex.org/W2744194414","https://openalex.org/W2767791375","https://openalex.org/W2793857475","https://openalex.org/W2809392335","https://openalex.org/W2811497295","https://openalex.org/W2884798947","https://openalex.org/W2885889820","https://openalex.org/W2890403168","https://openalex.org/W2898029823","https://openalex.org/W2899407261","https://openalex.org/W2905748561","https://openalex.org/W2951964871","https://openalex.org/W2963027093","https://openalex.org/W2966506101","https://openalex.org/W2976998768","https://openalex.org/W2999574466","https://openalex.org/W3005736844","https://openalex.org/W3010010446","https://openalex.org/W3010346893","https://openalex.org/W3012582342","https://openalex.org/W3014718231","https://openalex.org/W3032546408","https://openalex.org/W3034363875","https://openalex.org/W3037508793","https://openalex.org/W3041354098","https://openalex.org/W3158254482","https://openalex.org/W4230514541","https://openalex.org/W4240596782","https://openalex.org/W4245152641"],"related_works":["https://openalex.org/W2302915988","https://openalex.org/W3185772274","https://openalex.org/W4387405519","https://openalex.org/W3193576932","https://openalex.org/W2151097448","https://openalex.org/W2796809906","https://openalex.org/W2989274444","https://openalex.org/W2348660983","https://openalex.org/W2286890209","https://openalex.org/W2913148204"],"abstract_inverted_index":{"Abstract":[0],"One":[1],"of":[2,4,29,35,42,59,143,153,192,201,208],"characteristics":[3],"large-scale":[5,60,80,179],"linguistic":[6,61,85,98,113,124,137,180],"decision":[7,12,17,30,36,51,62,74,81,107,141,145,174,183,195],"making":[8,18,37,52,63,75,82,108,146,184],"problems":[9,38,83],"is":[10,20],"that":[11],"information":[13,142],"with":[14,79,84,178,219],"respect":[15],"to":[16,77,102,135,176,211],"attributes":[19,53,76],"derived":[21],"from":[22,163],"multi-sources":[23],"information.":[24],"In":[25,65],"addition,":[26],"the":[27,40,66,154,188,193,199,206],"number":[28],"makers,":[31],"alternatives":[32],"or":[33,223],"criteria":[34],"in":[39],"context":[41],"big":[43],"data":[44],"are":[45],"increasingly":[46],"large.":[47],"Correlation":[48],"analysis":[49,72,218],"between":[50,73,96,106],"has":[54],"become":[55],"an":[56],"important":[57,151],"issue":[58],"problems.":[64,185],"paper,":[67],"we":[68,90,111,168,197],"concentrate":[69],"on":[70,161],"correlation":[71,105],"deal":[78,177],"intuitionistic":[86,99,114,125,138,181],"fuzzy":[87,100,115,126,139,182],"values.":[88],"Firstly,":[89],"proposed":[91,194],"a":[92,170,203],"new":[93],"similarity":[94],"measure":[95],"two":[97,155],"sets":[101],"formally":[103],"define":[104],"attributes.":[109],"Then":[110],"propose":[112],"reducible":[116,127],"weighted":[117,128],"Maclaurin":[118,130],"symmetric":[119,131],"mean":[120,132],"(LIFRWMSM)":[121],"operator":[122,134],"and":[123,148,173,190,205,215],"dual":[129],"(LIFRWDMSM)":[133],"aggregate":[136],"value":[140],"correlational":[144],"attributes,":[147],"analyze":[149],"several":[150],"properties":[152],"operator.":[156],"Inspired":[157],"by":[158],"evaluation":[159],"based":[160],"distance":[162],"average":[164],"solution":[165,171],"(EDAS)":[166],"method,":[167,196],"design":[169],"scheme":[172],"steps":[175],"To":[186],"show":[187],"effectiveness":[189],"usefulness":[191],"employ":[198],"choice":[200],"buying":[202],"house":[204],"selection":[207],"travel":[209],"destination":[210],"demonstrate":[212],"our":[213],"method":[214],"make":[216],"comparative":[217],"others":[220],"aggregation":[221],"operators":[222],"methods.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-13T06:13:01.061226","created_date":"2025-10-10T00:00:00"}