{"id":"https://openalex.org/W2073202397","doi":"https://doi.org/10.1142/s0218001402002088","title":"EVOLVABLE SUBSETHOOD PRODUCT FUZZY NEURAL NETWORK FOR PATTERN CLASSIFICATION","display_name":"EVOLVABLE SUBSETHOOD PRODUCT FUZZY NEURAL NETWORK FOR PATTERN CLASSIFICATION","publication_year":2002,"publication_date":"2002-11-01","ids":{"openalex":"https://openalex.org/W2073202397","doi":"https://doi.org/10.1142/s0218001402002088","mag":"2073202397"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001402002088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001402002088","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5134820103","display_name":"C. Shunmuga Velayutham","orcid":"https://orcid.org/0000-0003-3762-4311"},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. SHUNMUGA VELAYUTHAM","raw_affiliation_strings":["Department of Physics and Computer Science,  Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005, India","Department of Physics and Computer Science, Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005 India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Computer Science,  Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005, India","institution_ids":["https://openalex.org/I178254495"]},{"raw_affiliation_string":"Department of Physics and Computer Science, Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005 India","institution_ids":["https://openalex.org/I178254495"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100727659","display_name":"Satish Kumar","orcid":"https://orcid.org/0000-0003-3758-6853"},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"SATISH KUMAR","raw_affiliation_strings":["Department of Physics and Computer Science,  Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005, India","Department of Physics and Computer Science, Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005 India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physics and Computer Science,  Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005, India","institution_ids":["https://openalex.org/I178254495"]},{"raw_affiliation_string":"Department of Physics and Computer Science, Faculty of Science, Dayalbagh Educational Institute, Dayalbagh, Agra 282005 India","institution_ids":["https://openalex.org/I178254495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100683999","display_name":"Sandeep Paul","orcid":"https://orcid.org/0000-0002-3743-5601"},"institutions":[{"id":"https://openalex.org/I178254495","display_name":"Dayalbagh Educational Institute","ror":"https://ror.org/04q4j2f69","country_code":"IN","type":"education","lineage":["https://openalex.org/I178254495"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"SANDEEP PAUL","raw_affiliation_strings":["Department of Electrical Engineering, Technical College, Dayalbagh Educational Institute, Dayalbagh, Agra 282005, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Technical College, Dayalbagh Educational Institute, Dayalbagh, Agra 282005, India","institution_ids":["https://openalex.org/I178254495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I178254495"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12785186,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"16","issue":"07","first_page":"957","last_page":"970"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9983000159263611,"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":0.9983000159263611,"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":0.9980000257492065,"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/T10057","display_name":"Face and Expression Recognition","score":0.974399983882904,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627895712852478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5780465006828308},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5572719573974609},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5020959377288818},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49314016103744507},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.4724058508872986},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4660072922706604},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.43515315651893616},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4344730079174042},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42922258377075195},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4181441366672516},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4118124842643738},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38285189867019653},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37437939643859863},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.36405837535858154},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.31779295206069946}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627895712852478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5780465006828308},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5572719573974609},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5020959377288818},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49314016103744507},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.4724058508872986},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4660072922706604},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.43515315651893616},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4344730079174042},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42922258377075195},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4181441366672516},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4118124842643738},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38285189867019653},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37437939643859863},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.36405837535858154},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.31779295206069946}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001402002088","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001402002088","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1508853606","https://openalex.org/W1553407966","https://openalex.org/W1565902586","https://openalex.org/W1576064560","https://openalex.org/W1604694093","https://openalex.org/W2001619934","https://openalex.org/W2012612681","https://openalex.org/W2019625600","https://openalex.org/W2033194777","https://openalex.org/W2062301117","https://openalex.org/W2085629944","https://openalex.org/W2100004220","https://openalex.org/W2109313762","https://openalex.org/W2117043380","https://openalex.org/W2117812871","https://openalex.org/W2125408827","https://openalex.org/W2142137407","https://openalex.org/W2142183404","https://openalex.org/W2152150600","https://openalex.org/W2156222099","https://openalex.org/W2159111290","https://openalex.org/W2164759297","https://openalex.org/W2622105632","https://openalex.org/W2904250082","https://openalex.org/W3023540311"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W3176863924","https://openalex.org/W4242970302","https://openalex.org/W1485268022","https://openalex.org/W1975005191","https://openalex.org/W4388451300","https://openalex.org/W2060361571","https://openalex.org/W2331106272","https://openalex.org/W4361984403","https://openalex.org/W2024822381"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,113],"evolvable":[4],"version":[5],"of":[6,116,124,157],"a":[7,38,55,62,85],"novel":[8],"subsethood":[9,57],"product":[10,63],"fuzzy":[11,23,45,52],"neural":[12],"inference":[13],"system":[14],"(ESuPFuNIS).":[15],"The":[16,42],"original":[17,79],"SuPFuNIS":[18],"model":[19,43],"20":[20],"employs":[21],"only":[22],"weights,":[24],"and":[25,29,89,96,135],"accepts":[26],"both":[27],"numeric":[28,33],"linguistic":[30],"inputs.":[31],"All":[32],"inputs":[34],"are":[35,70],"fuzzified":[36],"using":[37,54,72],"feature":[39],"specific":[40],"fuzzifier.":[41],"composes":[44],"signals":[46],"from":[47,67],"the":[48,68,78,121,125,141,144],"input":[49],"layer":[50],"with":[51,84],"weights":[53],"mutual":[56],"measure.":[58],"Rule":[59],"nodes":[60],"use":[61],"aggregation":[64],"operator.":[65],"Outputs":[66],"network":[69,117,126],"generated":[71],"volume":[73],"defuzzification.":[74],"Here":[75],"we":[76],"replace":[77],"gradient":[80,152],"descent":[81,153],"learning":[82],"procedure":[83],"genetic":[86,104],"optimization":[87],"technique":[88],"report":[90],"considerable":[91],"improvements":[92],"in":[93,155],"classification":[94,122,158],"accuracy":[95,159],"rule":[97,163],"economy":[98],"on":[99,127],"three":[100],"benchmark":[101],"problems.":[102],"Real-coded":[103],"algorithms":[105],"(RGA's)":[106],"have":[107],"been":[108],"employed":[109],"to":[110],"search":[111],"for":[112],"optimal":[114],"set":[115],"parameters.":[118],"We":[119],"demonstrate":[120],"capabilities":[123],"Ripley's":[128],"synthetic":[129],"two":[130],"class":[131],"data,":[132],"Iris":[133],"data":[134],"Forensic":[136],"glass":[137],"data.":[138],"In":[139],"all":[140],"problems":[142],"considered,":[143],"GA":[145],"based":[146],"classifier":[147],"performs":[148],"better":[149],"than":[150],"its":[151],"counterpart":[154],"terms":[156],"as":[160,162],"well":[161],"economy.":[164]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
