{"id":"https://openalex.org/W2210303234","doi":"https://doi.org/10.3233/ifs-151729","title":"Fuzziness based sample categorization for\u00a0classifier performance improvement","display_name":"Fuzziness based sample categorization for\u00a0classifier performance improvement","publication_year":2015,"publication_date":"2015-10-07","ids":{"openalex":"https://openalex.org/W2210303234","doi":"https://doi.org/10.3233/ifs-151729","mag":"2210303234"},"language":"en","primary_location":{"id":"doi:10.3233/ifs-151729","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151729","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-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/A5073006299","display_name":"Xizhao Wang","orcid":"https://orcid.org/0000-0001-6036-4728"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xi-Zhao Wang","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044645122","display_name":"Rana Aamir Raza Ashfaq","orcid":"https://orcid.org/0000-0002-1584-827X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rana Aamir Raza Ashfaq","raw_affiliation_strings":["College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015968312","display_name":"Aimin Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ai-Min Fu","raw_affiliation_strings":["College of Science, China Agricultural University, Beijing, China","E-mail:"],"affiliations":[{"raw_affiliation_string":"College of Science, China Agricultural University, Beijing, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"E-mail:","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5073006299"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":26.3815,"has_fulltext":false,"cited_by_count":156,"citation_normalized_percentile":{"value":0.99675512,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"29","issue":"3","first_page":"1185","last_page":"1196"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9922999739646912,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9883999824523926,"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/classifier","display_name":"Classifier (UML)","score":0.8116209506988525},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6592926979064941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6310433149337769},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5693116188049316},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.5378062129020691},{"id":"https://openalex.org/keywords/margin-classifier","display_name":"Margin classifier","score":0.5258215665817261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5079293847084045},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4499271810054779},{"id":"https://openalex.org/keywords/quadratic-classifier","display_name":"Quadratic classifier","score":0.4308181405067444},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3603903353214264},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3463057279586792},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12501633167266846}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8116209506988525},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6592926979064941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6310433149337769},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5693116188049316},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.5378062129020691},{"id":"https://openalex.org/C173102733","wikidata":"https://www.wikidata.org/wiki/Q6760396","display_name":"Margin classifier","level":3,"score":0.5258215665817261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5079293847084045},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4499271810054779},{"id":"https://openalex.org/C52620605","wikidata":"https://www.wikidata.org/wiki/Q7268357","display_name":"Quadratic classifier","level":3,"score":0.4308181405067444},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3603903353214264},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3463057279586792},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12501633167266846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/ifs-151729","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ifs-151729","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent &amp; Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1499244381","https://openalex.org/W1570082825","https://openalex.org/W1975846642","https://openalex.org/W1993717606","https://openalex.org/W1998376927","https://openalex.org/W1999501864","https://openalex.org/W2015487637","https://openalex.org/W2027654459","https://openalex.org/W2037187175","https://openalex.org/W2038190934","https://openalex.org/W2040121225","https://openalex.org/W2040895929","https://openalex.org/W2063255383","https://openalex.org/W2063637550","https://openalex.org/W2065725407","https://openalex.org/W2072495471","https://openalex.org/W2073091998","https://openalex.org/W2077611589","https://openalex.org/W2080087838","https://openalex.org/W2084362125","https://openalex.org/W2087347434","https://openalex.org/W2093825590","https://openalex.org/W2099778902","https://openalex.org/W2112081648","https://openalex.org/W2114841167","https://openalex.org/W2118932851","https://openalex.org/W2127684734","https://openalex.org/W2135017202","https://openalex.org/W2139677755","https://openalex.org/W2141695047","https://openalex.org/W2142827986","https://openalex.org/W2154776925","https://openalex.org/W2158001550","https://openalex.org/W2171604354","https://openalex.org/W4302161581","https://openalex.org/W4302591315","https://openalex.org/W6629806319","https://openalex.org/W6668812996"],"related_works":["https://openalex.org/W2010370304","https://openalex.org/W2162083125","https://openalex.org/W1483596504","https://openalex.org/W2009506202","https://openalex.org/W2125266525","https://openalex.org/W47559851","https://openalex.org/W58702947","https://openalex.org/W2297694731","https://openalex.org/W204488290","https://openalex.org/W2071988253"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3,9,19,24,30,47,55],"relationship":[4],"between":[5],"the":[6,12,16,43,63,67,78,83,89],"fuzziness":[7,40,56,69],"of":[8,15,21,50,88],"classifier":[10,17,27,84],"and":[11,94],"misclassification":[13],"rate":[14],"on":[18],"group":[20],"samples.":[22,70],"For":[23],"given":[25],"trained":[26],"that":[28,36],"outputs":[29],"membership":[31],"vector,":[32],"we":[33],"demonstrate":[34],"experimentally":[35,98],"samples":[37,65,80],"with":[38],"higher":[39],"outputted":[41],"by":[42],"cla":[44],"ssifier":[45],"mean":[46],"bigger":[48],"risk":[49],"misclassification.":[51],"We":[52],"then":[53],"propose":[54],"category":[57],"based":[58],"divide-and-conquer":[59],"strategy":[60],"which":[61],"separates":[62],"high-fuzziness":[64,79],"from":[66],"low":[68],"A":[71],"particular":[72],"technique":[73],"is":[74,91,97],"used":[75],"to":[76],"handle":[77],"for":[81],"promoting":[82],"performance.":[85],"The":[86],"reasonability":[87],"approach":[90],"theoretically":[92],"explained":[93],"its":[95],"effectiveness":[96],"demonstrated.":[99]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":11},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":23},{"year":2016,"cited_by_count":91},{"year":2015,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
