{"id":"https://openalex.org/W1967200735","doi":"https://doi.org/10.1109/fskd.2011.6019492","title":"Multiple attribute decision making method in the frame of interval-valued intuitionistic fuzzy sets","display_name":"Multiple attribute decision making method in the frame of interval-valued intuitionistic fuzzy sets","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W1967200735","doi":"https://doi.org/10.1109/fskd.2011.6019492","mag":"1967200735"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101213136","display_name":"Zhitao Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I55022517","display_name":"Heilongjiang University","ror":"https://ror.org/04zyhq975","country_code":"CN","type":"education","lineage":["https://openalex.org/I55022517"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhitao Zhao","raw_affiliation_strings":["School of Mathematical Sciences, Heilongjiang University, Xuefu Road No. 74, Harbin, 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Heilongjiang University, Xuefu Road No. 74, Harbin, 150080, China","institution_ids":["https://openalex.org/I55022517"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110567444","display_name":"Yingjun Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingjun Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, No.92, West Da-Zhi Street, 150001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, No.92, West Da-Zhi Street, 150001, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9513000249862671,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9509999752044678,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5871619582176208},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5778762102127075},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5394753813743591},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5355579257011414},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5347952246665955},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5281999707221985},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5110377073287964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4981808662414551},{"id":"https://openalex.org/keywords/score","display_name":"Score","score":0.47720250487327576},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46308714151382446},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.45272305607795715},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4305534362792969},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4197281002998352},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4162790775299072},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35561317205429077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3405804932117462},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3262355923652649},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2362685203552246}],"concepts":[{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5871619582176208},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5778762102127075},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5394753813743591},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5355579257011414},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5347952246665955},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5281999707221985},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5110377073287964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4981808662414551},{"id":"https://openalex.org/C65660741","wikidata":"https://www.wikidata.org/wiki/Q3952743","display_name":"Score","level":2,"score":0.47720250487327576},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46308714151382446},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.45272305607795715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4305534362792969},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4197281002998352},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4162790775299072},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35561317205429077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3405804932117462},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3262355923652649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2362685203552246},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019492","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019492","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8100000023841858,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1971875039","https://openalex.org/W1976915331","https://openalex.org/W1980564456","https://openalex.org/W1981779585","https://openalex.org/W1982034525","https://openalex.org/W1987177581","https://openalex.org/W2001706342","https://openalex.org/W2007805591","https://openalex.org/W2026244788","https://openalex.org/W2027937228","https://openalex.org/W2053211464","https://openalex.org/W2067472607","https://openalex.org/W2068033859","https://openalex.org/W2076808107","https://openalex.org/W2077335704","https://openalex.org/W2081037298","https://openalex.org/W2082669644","https://openalex.org/W2089228118","https://openalex.org/W2099469179","https://openalex.org/W2116321937","https://openalex.org/W2164734181","https://openalex.org/W2346953349","https://openalex.org/W4292078529"],"related_works":["https://openalex.org/W2152992791","https://openalex.org/W2485872624","https://openalex.org/W2112835755","https://openalex.org/W2349674371","https://openalex.org/W4291951920","https://openalex.org/W2097495471","https://openalex.org/W1696545756","https://openalex.org/W3197847930","https://openalex.org/W3192575047","https://openalex.org/W2017730179"],"abstract_inverted_index":{"Interval-valued":[0],"intuitionistic":[1,83],"fuzzy":[2,84],"set":[3],"(IVIFS)":[4],"is":[5,28,34,41,121],"effective":[6],"in":[7,14,43],"dealing":[8],"with":[9,50,62,103,125],"fuzziness":[10],"and":[11,17,57,112,123],"uncertainty":[12],"inherent":[13],"decision":[15,19],"data":[16],"multi-attribute":[18],"making":[20],"(MADM)":[21],"process.":[22],"The":[23,118],"aim":[24],"of":[25,53,59,106],"this":[26,44],"paper":[27],"to":[29,46,69,89],"develop":[30],"a":[31,67],"method":[32,68],"that":[33],"based":[35,74,129],"on":[36,55,75,130],"the":[37,71,76,101,104,114],"accuracy":[38,77,107],"function,":[39],"which":[40],"proposed":[42,119],"paper,":[45],"solve":[47],"MADM":[48],"problems":[49],"both":[51],"ratings":[52],"alternatives":[54,102],"attributes":[56,60],"weights":[58,73],"expressed":[61],"IVIFSs.":[63],"Firstly,":[64],"we":[65,80,98],"propose":[66],"determine":[70],"attribute":[72,92],"function.":[78],"Secondly,":[79],"utilize":[81],"interval-valued":[82],"weighted":[85],"averaging":[86],"(IIFWA)":[87],"operator":[88],"aggregate":[90],"all":[91,100],"values":[93,105],"for":[94,109],"every":[95,110],"alternative.":[96],"Finally,":[97],"rank":[99],"function":[108],"alternative":[111],"choose":[113],"most":[115],"desirable":[116],"one.":[117],"methodology":[120],"validated":[122],"compared":[124],"other":[126],"similar":[127],"methods":[128],"some":[131],"numerical":[132],"examples.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
