{"id":"https://openalex.org/W2134409914","doi":"https://doi.org/10.1109/fuzzy.2011.6007434","title":"A Perceptual Computer based method for supplier selection problem","display_name":"A Perceptual Computer based method for supplier selection problem","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2134409914","doi":"https://doi.org/10.1109/fuzzy.2011.6007434","mag":"2134409914"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2011.6007434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","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/A5037323311","display_name":"Shilian Han","orcid":null},"institutions":[{"id":"https://openalex.org/I137056471","display_name":"Nanjing University of Finance and Economics","ror":"https://ror.org/031y8am81","country_code":"CN","type":"education","lineage":["https://openalex.org/I137056471"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shilian Han","raw_affiliation_strings":["School of Marketing and Logistics, Nanjing University of Finance and Economics, Nanjing, China","School of Marketing and Logistics, Nanjing University of Finance and Economics, Nanjing 210046, China#TAB#"],"affiliations":[{"raw_affiliation_string":"School of Marketing and Logistics, Nanjing University of Finance and Economics, Nanjing, China","institution_ids":["https://openalex.org/I137056471"]},{"raw_affiliation_string":"School of Marketing and Logistics, Nanjing University of Finance and Economics, Nanjing 210046, China#TAB#","institution_ids":["https://openalex.org/I137056471"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048261783","display_name":"Xinwang Liu","orcid":"https://orcid.org/0000-0001-8230-8380"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinwang Liu","raw_affiliation_strings":["School of Economics and Management, South-East University, Nanjing, China","School of Economics and Management, Southeast University, Nanjing 210096, China)"],"affiliations":[{"raw_affiliation_string":"School of Economics and Management, South-East University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Economics and Management, Southeast University, Nanjing 210096, China)","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037323311"],"corresponding_institution_ids":["https://openalex.org/I137056471"],"apc_list":null,"apc_paid":null,"fwci":0.4097,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69381062,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"98","issue":null,"first_page":"1201","last_page":"1207"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.996399998664856,"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":0.996399998664856,"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":0.9839000105857849,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9326000213623047,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/ranking","display_name":"Ranking (information retrieval)","score":0.6921089887619019},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6677566766738892},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6364912390708923},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6172600984573364},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.6165115833282471},{"id":"https://openalex.org/keywords/vocabulary","display_name":"Vocabulary","score":0.6136060953140259},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6107443571090698},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.5892349481582642},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5856918096542358},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5677580237388611},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49964189529418945},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4615175426006317},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.448862224817276},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4430701732635498},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4242251515388489},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.37902793288230896},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.35215523838996887},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3248354196548462},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24402347207069397},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.12425616383552551},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09533512592315674}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6921089887619019},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6677566766738892},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6364912390708923},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6172600984573364},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.6165115833282471},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.6136060953140259},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6107443571090698},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.5892349481582642},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5856918096542358},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5677580237388611},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49964189529418945},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4615175426006317},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.448862224817276},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4430701732635498},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4242251515388489},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.37902793288230896},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35215523838996887},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3248354196548462},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24402347207069397},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.12425616383552551},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09533512592315674},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzzy.2011.6007434","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2011.6007434","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W90156705","https://openalex.org/W125870180","https://openalex.org/W208128215","https://openalex.org/W219225303","https://openalex.org/W647481897","https://openalex.org/W1611682757","https://openalex.org/W1787190784","https://openalex.org/W1971732655","https://openalex.org/W1972930682","https://openalex.org/W1983658296","https://openalex.org/W1987594356","https://openalex.org/W2013290439","https://openalex.org/W2018357431","https://openalex.org/W2020694587","https://openalex.org/W2022376719","https://openalex.org/W2031363525","https://openalex.org/W2037940305","https://openalex.org/W2038051080","https://openalex.org/W2051096136","https://openalex.org/W2059901265","https://openalex.org/W2060169728","https://openalex.org/W2063468231","https://openalex.org/W2068743344","https://openalex.org/W2071604995","https://openalex.org/W2074933914","https://openalex.org/W2076309564","https://openalex.org/W2086303348","https://openalex.org/W2092620885","https://openalex.org/W2103232511","https://openalex.org/W2106127254","https://openalex.org/W2112189957","https://openalex.org/W2122605917","https://openalex.org/W2125951486","https://openalex.org/W2126626732","https://openalex.org/W2127856486","https://openalex.org/W2130902850","https://openalex.org/W2131914501","https://openalex.org/W2143533269","https://openalex.org/W2146121510","https://openalex.org/W2153784765","https://openalex.org/W2157423656","https://openalex.org/W2157812421","https://openalex.org/W2163982943","https://openalex.org/W2165094119","https://openalex.org/W2188035202","https://openalex.org/W2480243962","https://openalex.org/W2730473046","https://openalex.org/W4241040953","https://openalex.org/W6636657728","https://openalex.org/W6678698121","https://openalex.org/W6687229312"],"related_works":["https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2349784553","https://openalex.org/W3022596247","https://openalex.org/W2601444686","https://openalex.org/W2798198862","https://openalex.org/W2915512527","https://openalex.org/W2112090263","https://openalex.org/W2315413568","https://openalex.org/W2083145701"],"abstract_inverted_index":{"The":[0,18,91],"supplier":[1,19,156,169,186],"selection":[2,20,187],"is":[3,60,109,135,151,162],"one":[4,36,190],"of":[5,10,25,30,38,50,167,173],"the":[6,31,41,105,122,140,155,168,184,189,192],"most":[7],"important":[8],"components":[9],"production":[11],"and":[12,40,102,158,180,195],"logistics":[13],"management":[14],"for":[15,44,121],"many":[16],"companies.":[17],"problem":[21],"involves":[22],"different":[23],"kinds":[24],"words":[26,39,56,99,123,141],"in":[27,124],"which":[28],"all":[29,45,139],"criteria":[32],"are":[33,47],"weighted":[34,132],"using":[35,65],"kind":[37,49],"performance":[42],"evaluations":[43],"sub-criteria":[46],"another":[48],"words.":[51],"How":[52],"to":[53,111,137,153,164,198],"aggregate":[54,138],"these":[55],"without":[57],"losing":[58],"information":[59],"a":[61,66,76,125,130,147,159],"very":[62],"daunting":[63],"task":[64],"type-1":[67],"fuzzy":[68,115],"set":[69,116],"(Tl":[70],"FS)":[71,118],"approach.":[72],"This":[73],"paper":[74],"applies":[75],"new":[77],"methodology-":[78],"Perceptual":[79],"Computer":[80],"(Per-C)-to":[81],"help":[82],"solve":[83],"this":[84],"hierarchical":[85],"group":[86],"multi-criteria":[87],"decision":[88,178],"making":[89],"problem.":[90],"Per-C":[92],"has":[93],"three":[94],"components:":[95],"encoder,":[96],"computing":[97],"with":[98,176,191],"(CWW)":[100],"engine":[101],"decoder.":[103],"First,":[104],"interval":[106,113],"approach":[107],"(IA)":[108],"used":[110,136,152,163],"obtain":[112,165],"type-2":[114],"(IT2":[117],"word":[119],"models":[120],"pre":[126],"specified":[127],"vocabulary.":[128],"Second,":[129],"linguistic":[131],"average":[133],"(LWA)":[134],"modeled":[142],"by":[143],"IT2":[144],"FSs.":[145],"Finally,":[146],"centroid-based":[148],"ranking":[149,194],"method":[150],"rank":[154],"selections,":[157],"similarity":[160,197],"measure":[161],"similarities":[166],"selections.":[170],"A":[171],"committee":[172],"judges":[174],"organized":[175],"P":[177],"makers":[179],"K":[181],"experts":[182],"decides":[183],"winning":[185],"as":[188],"highest":[193],"least":[196],"other":[199],"suppliers.":[200]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
