{"id":"https://openalex.org/W2020749450","doi":"https://doi.org/10.1109/fuzzy.2009.5277319","title":"Enhancement of TOPSIS using compound linguistic ordinal scale and cognitive pairwise comparison","display_name":"Enhancement of TOPSIS using compound linguistic ordinal scale and cognitive pairwise comparison","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2020749450","doi":"https://doi.org/10.1109/fuzzy.2009.5277319","mag":"2020749450"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2009.5277319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","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/A5056440787","display_name":"Kevin Kam Fung Yuen","orcid":"https://orcid.org/0000-0003-1497-2575"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Kevin Kam Fung Yuen","raw_affiliation_strings":["Hong Kong Polytechnic University, Hong Kong, China","Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong#TAB#"],"affiliations":[{"raw_affiliation_string":"Hong Kong Polytechnic University, Hong Kong, China","institution_ids":["https://openalex.org/I14243506"]},{"raw_affiliation_string":"Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong#TAB#","institution_ids":["https://openalex.org/I14243506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056440787"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":1.2052,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8090853,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"140","issue":null,"first_page":"649","last_page":"654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9984999895095825,"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":0.9984999895095825,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9578999876976013,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8117282390594482},{"id":"https://openalex.org/keywords/topsis","display_name":"TOPSIS","score":0.7349249124526978},{"id":"https://openalex.org/keywords/ordinal-scale","display_name":"Ordinal Scale","score":0.709298849105835},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5290355086326599},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5263848304748535},{"id":"https://openalex.org/keywords/rating-scale","display_name":"Rating scale","score":0.4988417625427246},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4791131019592285},{"id":"https://openalex.org/keywords/ordinal-data","display_name":"Ordinal data","score":0.4675050675868988},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4387408196926117},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.4236990213394165},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4182828664779663},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3906606435775757},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31647759675979614},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.23895195126533508},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.22302454710006714},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.071674644947052}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8117282390594482},{"id":"https://openalex.org/C51566761","wikidata":"https://www.wikidata.org/wiki/Q1235853","display_name":"TOPSIS","level":2,"score":0.7349249124526978},{"id":"https://openalex.org/C2909711754","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal Scale","level":2,"score":0.709298849105835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5290355086326599},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5263848304748535},{"id":"https://openalex.org/C83849319","wikidata":"https://www.wikidata.org/wiki/Q7295720","display_name":"Rating scale","level":2,"score":0.4988417625427246},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4791131019592285},{"id":"https://openalex.org/C85461838","wikidata":"https://www.wikidata.org/wiki/Q7100785","display_name":"Ordinal data","level":2,"score":0.4675050675868988},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4387408196926117},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.4236990213394165},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4182828664779663},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3906606435775757},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31647759675979614},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.23895195126533508},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.22302454710006714},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.071674644947052},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2009.5277319","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2009.5277319","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W173895910","https://openalex.org/W175540151","https://openalex.org/W194786220","https://openalex.org/W311044188","https://openalex.org/W1546067212","https://openalex.org/W1560729591","https://openalex.org/W1573513981","https://openalex.org/W1822004825","https://openalex.org/W1973280736","https://openalex.org/W2174826014","https://openalex.org/W2322584079","https://openalex.org/W2506768821","https://openalex.org/W2579555219","https://openalex.org/W2951777333","https://openalex.org/W6633724138"],"related_works":["https://openalex.org/W141250983","https://openalex.org/W2116323989","https://openalex.org/W2313068166","https://openalex.org/W2173081572","https://openalex.org/W2119363431","https://openalex.org/W4255034770","https://openalex.org/W2055248423","https://openalex.org/W2116413342","https://openalex.org/W2052623926","https://openalex.org/W2051517726"],"abstract_inverted_index":{"TOPSIS":[0,67],"is":[1],"one":[2],"of":[3,13,17,64,73],"the":[4,11,14,18,22,25,36,43,47,51,58,65,74],"popular":[5],"multi-criteria":[6],"decision":[7,26],"making":[8],"models.":[9],"However,":[10],"determinations":[12],"parametric":[15],"settings":[16],"rating":[19,44],"scale":[20,40,45],"and":[21,50,62],"weights":[23],"for":[24,46,56],"matrix":[27],"are":[28,68],"still":[29],"uncertain":[30],"in":[31,70],"TOPSIS.":[32],"This":[33],"research":[34],"proposes":[35],"compound":[37],"linguistic":[38],"ordinal":[39],"(CLOS)":[41],"as":[42],"subject":[48],"measure,":[49],"cognitive":[52],"pairwise":[53],"comparison":[54],"(CPC)":[55],"determining":[57],"weight.":[59],"The":[60],"usability":[61],"applicability":[63],"enhanced":[66],"illustrated":[69],"a":[71],"case":[72],"robot":[75],"selection":[76],"problem.":[77]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
