{"id":"https://openalex.org/W2159011498","doi":"https://doi.org/10.1109/fuzz.2001.1009058","title":"Fuzzy neural inference system using mutual subsethood products with applications in medical diagnosis and control","display_name":"Fuzzy neural inference system using mutual subsethood products with applications in medical diagnosis and control","publication_year":2005,"publication_date":"2005-08-25","ids":{"openalex":"https://openalex.org/W2159011498","doi":"https://doi.org/10.1109/fuzz.2001.1009058","mag":"2159011498"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2001.1009058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1009058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","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/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":true,"raw_author_name":"S. Paul","raw_affiliation_strings":["Department of Electrical Engineering, D.E.I Technical College, Dayalbagh Educational Institute (Deemed University), Agra, India"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, D.E.I Technical College, Dayalbagh Educational Institute (Deemed University), Agra, India","institution_ids":["https://openalex.org/I178254495"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067847765","display_name":"Sanjay Kumar","orcid":"https://orcid.org/0000-0002-8951-5996"},"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":"S. Kumar","raw_affiliation_strings":["Department of Physics and Computer Science, Dayalbagh Educational Institute (Deemed University), Agra, India"],"affiliations":[{"raw_affiliation_string":"Department of Physics and Computer Science, Dayalbagh Educational Institute (Deemed University), Agra, India","institution_ids":["https://openalex.org/I178254495"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100683999"],"corresponding_institution_ids":["https://openalex.org/I178254495"],"apc_list":null,"apc_paid":null,"fwci":0.8775,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81575341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"728","last_page":"731"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9932000041007996,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9749000072479248,"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/computer-science","display_name":"Computer science","score":0.6553842425346375},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.6151584982872009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5985803008079529},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4934345781803131},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4912061095237732},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.48178741335868835},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4717242121696472},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45834892988204956},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.44869425892829895},{"id":"https://openalex.org/keywords/antecedent","display_name":"Antecedent (behavioral psychology)","score":0.4340822100639343},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.38926762342453003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3829512596130371}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6553842425346375},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.6151584982872009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5985803008079529},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4934345781803131},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4912061095237732},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.48178741335868835},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4717242121696472},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45834892988204956},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.44869425892829895},{"id":"https://openalex.org/C2781256819","wikidata":"https://www.wikidata.org/wiki/Q16828835","display_name":"Antecedent (behavioral psychology)","level":2,"score":0.4340822100639343},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.38926762342453003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3829512596130371},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2001.1009058","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2001.1009058","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W120161273","https://openalex.org/W2104190832","https://openalex.org/W2104849080","https://openalex.org/W2116019283","https://openalex.org/W2153244676","https://openalex.org/W2159111290","https://openalex.org/W4298053142","https://openalex.org/W4312750805"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4242970302","https://openalex.org/W4388451300","https://openalex.org/W2571050636","https://openalex.org/W2060361571","https://openalex.org/W1975005191","https://openalex.org/W3176863924","https://openalex.org/W4361984403","https://openalex.org/W1976608231","https://openalex.org/W2024822381"],"abstract_inverted_index":{"Presents":[0],"medical":[1],"diagnosis":[2],"and":[3,45,49,80,116],"control":[4],"applications":[5],"of":[6,55,97,100],"a":[7],"fuzzy":[8,42,51,71],"neural":[9],"inference":[10],"system":[11],"that":[12,121],"admits":[13],"both":[14,129],"numeric":[15],"as":[16,18],"well":[17],"linguistic":[19,32],"inputs.":[20],"Numeric":[21],"inputs":[22,33],"are":[23,34,75],"fuzzified":[24],"prior":[25],"to":[26,29,66,86,103],"their":[27],"application":[28],"the":[30,56,88,98,117,122],"network;":[31],"presented":[35],"directly.":[36],"The":[37,53,90],"network":[38],"architecture":[39],"directly":[40],"embeds":[41],"if-then":[43],"rules,":[44],"connections":[46],"represent":[47],"antecedent":[48],"consequent":[50],"sets.":[52],"novelty":[54],"model":[57,91,125],"lies":[58],"in":[59,95],"its":[60],"mutual":[61],"subsethood":[62,123],"based":[63,124],"activation":[64],"spread":[65],"rule":[67],"nodes":[68],"which":[69],"compute":[70],"inner":[72],"products.":[73],"Outputs":[74],"computed":[76],"using":[77],"volume":[78],"defuzzification,":[79],"gradient":[81],"descent":[82],"learning":[83],"is":[84,92],"used":[85],"train":[87],"network.":[89],"very":[93],"economical":[94],"terms":[96],"number":[99],"rules":[101],"required":[102],"solve":[104],"difficult":[105],"problems.":[106],"Simulation":[107],"results":[108],"on":[109],"two":[110],"benchmark":[111],"problems-the":[112],"Hepatitis":[113],"data":[114],"set":[115],"truck":[118],"backer-upper":[119],"problem-show":[120],"performs":[126],"excellently":[127],"for":[128],"applications.":[130]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}