{"id":"https://openalex.org/W2592418684","doi":"https://doi.org/10.1109/icmlc.2016.7872972","title":"A new multicriteria decision making method based on the topsis method and similarity measures between intuitionistic fuzzy sets","display_name":"A new multicriteria decision making method based on the topsis method and similarity measures between intuitionistic fuzzy sets","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2592418684","doi":"https://doi.org/10.1109/icmlc.2016.7872972","mag":"2592418684"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2016.7872972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7872972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-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/A5061831201","display_name":"Shyi\u2010Ming Chen","orcid":"https://orcid.org/0000-0001-8648-631X"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shyi-Ming Chen","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034997897","display_name":"Shou-Hsiung Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I5971364","display_name":"Chienkuo Technology University","ror":"https://ror.org/04ahb7r80","country_code":"TW","type":"education","lineage":["https://openalex.org/I5971364"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shou-Hsiung Cheng","raw_affiliation_strings":["Department of Kinesiology Health Leisure Studies, Chienkuo Technology University, Changhua, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Kinesiology Health Leisure Studies, Chienkuo Technology University, Changhua, Taiwan","institution_ids":["https://openalex.org/I5971364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045078312","display_name":"Tzu-Chun Lan","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Tzu-Chun Lan","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5061831201"],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":3.3175,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.93757574,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"692","last_page":"696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9918000102043152,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.7660684585571289},{"id":"https://openalex.org/keywords/closeness","display_name":"Closeness","score":0.7598345279693604},{"id":"https://openalex.org/keywords/multiple-criteria-decision-analysis","display_name":"Multiple-criteria decision analysis","score":0.6817958950996399},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6504132747650146},{"id":"https://openalex.org/keywords/ideal-solution","display_name":"Ideal solution","score":0.6194645166397095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6032025218009949},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5106640458106995},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4640236496925354},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.44035691022872925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4157336950302124},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.4125576615333557},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4014109671115875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32251954078674316},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.2094845473766327},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19178152084350586}],"concepts":[{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.7660684585571289},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.7598345279693604},{"id":"https://openalex.org/C11105738","wikidata":"https://www.wikidata.org/wiki/Q1895805","display_name":"Multiple-criteria decision analysis","level":2,"score":0.6817958950996399},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6504132747650146},{"id":"https://openalex.org/C89591040","wikidata":"https://www.wikidata.org/wiki/Q1779030","display_name":"Ideal solution","level":2,"score":0.6194645166397095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6032025218009949},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5106640458106995},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4640236496925354},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.44035691022872925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4157336950302124},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.4125576615333557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4014109671115875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32251954078674316},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2094845473766327},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19178152084350586},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2016.7872972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2016.7872972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7900000214576721}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321531","display_name":"Chienkuo Technology University","ror":"https://ror.org/04ahb7r80"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1980564456","https://openalex.org/W1986813400","https://openalex.org/W2080321857","https://openalex.org/W2089118061","https://openalex.org/W2123310356","https://openalex.org/W2147835113","https://openalex.org/W2261233885","https://openalex.org/W2273432898","https://openalex.org/W2291962372","https://openalex.org/W2292538741","https://openalex.org/W2295250650","https://openalex.org/W2297059917","https://openalex.org/W2315442006","https://openalex.org/W2331687785","https://openalex.org/W2340494682","https://openalex.org/W2342273427","https://openalex.org/W2342323445","https://openalex.org/W2392897035","https://openalex.org/W2394226702","https://openalex.org/W2462901270","https://openalex.org/W2465932600","https://openalex.org/W2468392024","https://openalex.org/W2474895418","https://openalex.org/W2480924053","https://openalex.org/W4211007335","https://openalex.org/W6682043362"],"related_works":["https://openalex.org/W2612149696","https://openalex.org/W2347675019","https://openalex.org/W2367947563","https://openalex.org/W2890644467","https://openalex.org/W2293394021","https://openalex.org/W4387430003","https://openalex.org/W3135485754","https://openalex.org/W1990029659","https://openalex.org/W3154161952","https://openalex.org/W2778781604"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3],"novel":[4],"multicriteria":[5],"decision":[6,39],"making":[7],"(MCDM)":[8],"method":[9,13,108],"using":[10],"the":[11,24,38,44,47,54,67,72,79,84,94,105,114,117],"TOPSIS":[12],"and":[14,53,71,83],"similarity":[15,69,74],"measures":[16],"between":[17],"intuitionistic":[18,32,124],"fuzzy":[19,33,125],"values.":[20],"First,":[21],"it":[22,42,65,77,111],"calculates":[23,43,66,78],"degree":[25,96],"of":[26,29,46,88,97,99,104,116],"indeterminacy":[27],"(DOI)":[28],"each":[30,61,89,100],"evaluating":[31],"value":[34,51,58],"(IFV)":[35],"given":[36],"by":[37],"maker.":[40],"Then,":[41,64],"DOI":[45],"relative":[48,55,95],"positive":[49,68,81],"ideal":[50,57],"(RPIV)":[52],"negative":[56,73,86],"(RNIV)":[59],"for":[60,121],"criterion,":[62],"respectively.":[63],"degrees":[70],"degrees.":[75],"Finally,":[76],"weighted":[80,85],"score":[82,87],"alternative,":[90],"respectively,":[91],"to":[92],"get":[93],"closeness":[98],"alternative.":[101],"The":[102],"advantage":[103],"proposed":[106],"MCDM":[107,119,122],"is":[109],"that":[110],"can":[112],"overcome":[113],"drawbacks":[115],"existing":[118],"methods":[120],"in":[123],"environments.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}