{"id":"https://openalex.org/W3013707441","doi":"https://doi.org/10.15388/20-infor405","title":"A New Decision Making Method Using Interval-Valued Intuitionistic Fuzzy Cosine Similarity Measure Based on the Weighted Reduced Intuitionistic Fuzzy Sets","display_name":"A New Decision Making Method Using Interval-Valued Intuitionistic Fuzzy Cosine Similarity Measure Based on the Weighted Reduced Intuitionistic Fuzzy Sets","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3013707441","doi":"https://doi.org/10.15388/20-infor405","mag":"3013707441"},"language":"en","primary_location":{"id":"doi:10.15388/20-infor405","is_oa":true,"landing_page_url":"https://doi.org/10.15388/20-infor405","pdf_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1163/file/pdf","source":{"id":"https://openalex.org/S57195646","display_name":"Informatica","issn_l":"0868-4952","issn":["0868-4952","1822-8844"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1163/file/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081002682","display_name":"Rajkumar Verma","orcid":"https://orcid.org/0000-0002-4014-1305"},"institutions":[{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Rajkumar Verma","raw_affiliation_strings":["Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, Santiago-8330015, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, Santiago-8330015, Chile","institution_ids":["https://openalex.org/I69737025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076412373","display_name":"Jos\u00e9 M. Merig\u00f3","orcid":"https://orcid.org/0000-0002-4672-6961"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]},{"id":"https://openalex.org/I69737025","display_name":"University of Chile","ror":"https://ror.org/047gc3g35","country_code":"CL","type":"education","lineage":["https://openalex.org/I69737025"]}],"countries":["AU","CL"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 M. Merig\u00f3","raw_affiliation_strings":["Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, Santiago-8330015, Chile","School of Information, Systems and Modelling, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Control and Information Systems, University of Chile, Av. Diagonal Paraguay 257, Santiago-8330015, Chile","institution_ids":["https://openalex.org/I69737025"]},{"raw_affiliation_string":"School of Information, Systems and Modelling, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0634,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91606077,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"399","last_page":"433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9998999834060669,"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":0.9998999834060669,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9966999888420105,"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"}},{"id":"https://openalex.org/T12709","display_name":"Optimization and Mathematical Programming","score":0.9937999844551086,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.7253327369689941},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6884072422981262},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6649823188781738},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.659436821937561},{"id":"https://openalex.org/keywords/fuzzy-measure-theory","display_name":"Fuzzy measure theory","score":0.519582986831665},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5174666047096252},{"id":"https://openalex.org/keywords/trigonometric-functions","display_name":"Trigonometric functions","score":0.47627848386764526},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.46020954847335815},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4593402147293091},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.45849668979644775},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.38715440034866333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35250169038772583},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3470364511013031},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3249090313911438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.29070451855659485},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.23798537254333496},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.11856648325920105},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10823062062263489},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08050259947776794}],"concepts":[{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.7253327369689941},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6884072422981262},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6649823188781738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.659436821937561},{"id":"https://openalex.org/C100516043","wikidata":"https://www.wikidata.org/wiki/Q4455138","display_name":"Fuzzy measure theory","level":5,"score":0.519582986831665},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5174666047096252},{"id":"https://openalex.org/C178009071","wikidata":"https://www.wikidata.org/wiki/Q93344","display_name":"Trigonometric functions","level":2,"score":0.47627848386764526},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.46020954847335815},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4593402147293091},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.45849668979644775},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.38715440034866333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35250169038772583},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3470364511013031},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3249090313911438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.29070451855659485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.23798537254333496},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.11856648325920105},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10823062062263489},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08050259947776794},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.15388/20-infor405","is_oa":true,"landing_page_url":"https://doi.org/10.15388/20-infor405","pdf_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1163/file/pdf","source":{"id":"https://openalex.org/S57195646","display_name":"Informatica","issn_l":"0868-4952","issn":["0868-4952","1822-8844"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/143822","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/143822","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:repositorio.uchile.cl:2250/178344","is_oa":true,"landing_page_url":"https://repositorio.uchile.cl/handle/2250/178344","pdf_url":null,"source":{"id":"https://openalex.org/S4306481413","display_name":"Universidad de Chile","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Informatica","raw_type":"Art\u00edculo de revista"}],"best_oa_location":{"id":"doi:10.15388/20-infor405","is_oa":true,"landing_page_url":"https://doi.org/10.15388/20-infor405","pdf_url":"https://informatica.vu.lt/journal/INFORMATICA/article/1163/file/pdf","source":{"id":"https://openalex.org/S57195646","display_name":"Informatica","issn_l":"0868-4952","issn":["0868-4952","1822-8844"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3013707441.pdf","grobid_xml":"https://content.openalex.org/works/W3013707441.grobid-xml"},"referenced_works_count":67,"referenced_works":["https://openalex.org/W1486279522","https://openalex.org/W1509561367","https://openalex.org/W1616765759","https://openalex.org/W1954281074","https://openalex.org/W1956559956","https://openalex.org/W1963511358","https://openalex.org/W1966808269","https://openalex.org/W1970352388","https://openalex.org/W1976470407","https://openalex.org/W1976915331","https://openalex.org/W1978889792","https://openalex.org/W1980564456","https://openalex.org/W1980748255","https://openalex.org/W1981963907","https://openalex.org/W1982618675","https://openalex.org/W2008553173","https://openalex.org/W2027014350","https://openalex.org/W2033249289","https://openalex.org/W2039791408","https://openalex.org/W2041448662","https://openalex.org/W2042421763","https://openalex.org/W2045606174","https://openalex.org/W2046520165","https://openalex.org/W2047833440","https://openalex.org/W2060907774","https://openalex.org/W2064336577","https://openalex.org/W2065442155","https://openalex.org/W2067648457","https://openalex.org/W2069231944","https://openalex.org/W2070417014","https://openalex.org/W2071112569","https://openalex.org/W2076808107","https://openalex.org/W2087991154","https://openalex.org/W2089228118","https://openalex.org/W2090542323","https://openalex.org/W2091275864","https://openalex.org/W2092716173","https://openalex.org/W2099469179","https://openalex.org/W2100945172","https://openalex.org/W2120230944","https://openalex.org/W2125906479","https://openalex.org/W2143056329","https://openalex.org/W2145533960","https://openalex.org/W2158795395","https://openalex.org/W2161888784","https://openalex.org/W2181869476","https://openalex.org/W2293877033","https://openalex.org/W2300277393","https://openalex.org/W2315311709","https://openalex.org/W2346443999","https://openalex.org/W2384572445","https://openalex.org/W2394927731","https://openalex.org/W2555208810","https://openalex.org/W2585870261","https://openalex.org/W2587704403","https://openalex.org/W2609291468","https://openalex.org/W2766707622","https://openalex.org/W2779374146","https://openalex.org/W2790496953","https://openalex.org/W2901288482","https://openalex.org/W2907707786","https://openalex.org/W2912565176","https://openalex.org/W2939943368","https://openalex.org/W3140407031","https://openalex.org/W4211007335","https://openalex.org/W4285719527","https://openalex.org/W4292078529"],"related_works":["https://openalex.org/W126212742","https://openalex.org/W1948687848","https://openalex.org/W2953417386","https://openalex.org/W57923944","https://openalex.org/W2473504045","https://openalex.org/W2284045667","https://openalex.org/W875509673","https://openalex.org/W2037428035","https://openalex.org/W2981287881","https://openalex.org/W3200484643"],"abstract_inverted_index":{"In":[0,158],"this":[1,41],"paper,":[2],"we":[3,45,160],"develop":[4,87,198],"a":[5,117,174,199],"new":[6,200],"flexible":[7],"method":[8,202],"for":[9,124,153],"interval-valued":[10,23,71,91,125,165,209],"intuitionistic":[11,24,37,72,92,103,126,166,210],"fuzzy":[12,25,38,73,93,104,127,167,211],"decision-making":[13,201],"problems":[14,207],"with":[15,208],"cosine":[16,26,42,74,94,121,168],"similarity":[17,27,43,57,75,95,122,169],"measure.":[18,76,171,189],"We":[19,60],"first":[20],"introduce":[21],"the":[22,31,34,50,56,69,78,81,88,100,110,135,138,151,162,191,194,225,228],"measure":[28,97,112,141,196],"based":[29,98],"on":[30,99,134],"notion":[32],"of":[33,53,63,83,109,120,137,177,217,227],"weighted":[35,70,90,101,164],"reduced":[36,102],"sets.":[39,105],"With":[40],"measure,":[44,183,185,187],"are":[46],"able":[47],"to":[48,86,144,197,203,223],"accommodate":[49],"attitudinal":[51],"character":[52],"decision-makers":[54],"in":[55,155,231],"measuring":[58],"process.":[59],"study":[61,192],"some":[62,146],"its":[64],"essential":[65,147],"properties":[66],"and":[67,129],"propose":[68],"Further,":[77],"work":[79],"uses":[80,193],"idea":[82],"GOWA":[84],"operator":[85],"ordered":[89],"(OWIVIFCS)":[96],"The":[106,140],"main":[107],"advantage":[108],"OWIVIFCS":[111,182,195],"is":[113,142,220],"that":[114],"it":[115],"provides":[116],"parameterized":[118],"family":[119],"measures":[123],"sets":[128],"considers":[130],"different":[131,156],"scenarios":[132],"depending":[133],"attitude":[136],"decision-makers.":[139],"demonstrated":[143],"satisfy":[145],"properties,":[148],"which":[149],"prepare":[150],"ground":[152],"applications":[154],"areas.":[157],"addition,":[159],"define":[161],"quasi-ordered":[163],"(quasi-OWIVIFCS)":[170],"It":[172],"includes":[173],"wide":[175],"range":[176],"particular":[178],"cases":[179],"such":[180],"as":[181],"trigonometric-OWIVIFCS":[184],"exponential-OWIVIFCS":[186],"radical-OWIVIFCS":[188],"Finally,":[190],"solve":[204],"real-world":[205],"decision":[206],"information.":[212],"A":[213],"real-life":[214,233],"numerical":[215],"example":[216],"contractor":[218],"selection":[219],"also":[221],"given":[222],"demonstrate":[224],"effectiveness":[226],"developed":[229],"approach":[230],"solving":[232],"problems.":[234]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
