{"id":"https://openalex.org/W3057456192","doi":"https://doi.org/10.1109/iske47853.2019.9170302","title":"AFSKNN: Classification Method Based on K-Nearest Neighbors and Axiomatic Fuzzy Sets","display_name":"AFSKNN: Classification Method Based on K-Nearest Neighbors and Axiomatic Fuzzy Sets","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3057456192","doi":"https://doi.org/10.1109/iske47853.2019.9170302","mag":"3057456192"},"language":"en","primary_location":{"id":"doi:10.1109/iske47853.2019.9170302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5100352573","display_name":"Yifei Liu","orcid":"https://orcid.org/0009-0009-1098-8044"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifei Liu","raw_affiliation_strings":["Dalian Maritime University,College of Science,Dalian,China","College of Science, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,College of Science,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"College of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101803701","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-3485-3525"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Dalian Maritime University,College of Science,Dalian,China","College of Science, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,College of Science,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"College of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100424668","display_name":"Lidong Wang","orcid":"https://orcid.org/0000-0003-1462-9443"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lidong Wang","raw_affiliation_strings":["Dalian Maritime University,College of Science,Dalian,China","College of Science, Dalian Maritime University, Dalian, China"],"affiliations":[{"raw_affiliation_string":"Dalian Maritime University,College of Science,Dalian,China","institution_ids":["https://openalex.org/I43313876"]},{"raw_affiliation_string":"College of Science, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100352573"],"corresponding_institution_ids":["https://openalex.org/I43313876"],"apc_list":null,"apc_paid":null,"fwci":0.14,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61315907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1139","last_page":"1144"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.993399977684021,"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"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9861999750137329,"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"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9807999730110168,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7746961116790771},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6756536364555359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6653096675872803},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6622130274772644},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6386231184005737},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.539105236530304},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5061761736869812},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47146469354629517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46451348066329956},{"id":"https://openalex.org/keywords/axiom","display_name":"Axiom","score":0.44139882922172546},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20232513546943665}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7746961116790771},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6756536364555359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6653096675872803},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6622130274772644},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6386231184005737},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.539105236530304},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5061761736869812},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47146469354629517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46451348066329956},{"id":"https://openalex.org/C167729594","wikidata":"https://www.wikidata.org/wiki/Q17736","display_name":"Axiom","level":2,"score":0.44139882922172546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20232513546943665},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iske47853.2019.9170302","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske47853.2019.9170302","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4000000059604645,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W113845069","https://openalex.org/W1173585381","https://openalex.org/W1565746575","https://openalex.org/W1984095169","https://openalex.org/W2003042363","https://openalex.org/W2026314284","https://openalex.org/W2046415586","https://openalex.org/W2052393785","https://openalex.org/W2122111042","https://openalex.org/W2168935782","https://openalex.org/W2333673279","https://openalex.org/W2351855960","https://openalex.org/W2399636617","https://openalex.org/W2579021713","https://openalex.org/W2606436201","https://openalex.org/W2764035296","https://openalex.org/W2778218038","https://openalex.org/W2783290031","https://openalex.org/W2796201797","https://openalex.org/W2796497448","https://openalex.org/W2886793380","https://openalex.org/W3120740533","https://openalex.org/W6604655786","https://openalex.org/W6684884508","https://openalex.org/W6747886214"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"The":[0,45,94],"classification":[1],"with":[2,62,89],"both":[3,105],"semantic":[4,53,121],"description":[5],"and":[6,19,40,91,107],"accuracy":[7],"performance":[8,99],"is":[9,102],"an":[10,27,31],"appealing":[11],"issue":[12],"in":[13,104],"the":[14,48,63,66,71,87,98,110],"fields":[15],"of":[16,59,65,100,115,120],"pattern":[17],"recognition":[18],"data":[20,50,76],"mining.":[21],"In":[22],"this":[23],"study,":[24],"we":[25],"make":[26],"attempt":[28],"to":[29,70],"design":[30],"interpretable":[32],"classifier":[33,111],"AFSKNN":[34],"based":[35],"on":[36],"K-nearest":[37],"neighbors":[38],"(KNN)":[39],"Axiomatic":[41],"fuzzy":[42],"sets":[43,77],"(AFS).":[44],"algorithm":[46],"converts":[47],"learning":[49,81],"into":[51],"a":[52,113],"description,":[54],"followed":[55],"by":[56,118],"selecting":[57],"k-neighborhood":[58],"test":[60],"sample":[61,73],"aid":[64],"membership":[67],"grade":[68],"belonging":[69],"training":[72],"description.":[74,122],"Some":[75],"from":[78],"UCI":[79],"machine":[80],"repository":[82],"are":[83],"tested":[84],"for":[85],"comparing":[86],"results":[88,95],"KNN":[90],"AFS":[92],"classifiers.":[93],"demonstrate":[96],"that":[97],"AFS-KNN":[101],"satisfied":[103],"interpretability":[106],"accuracy.":[108],"Meanwhile,":[109],"indicates":[112],"potential":[114],"acquiring":[116],"knowledge":[117],"means":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}