{"id":"https://openalex.org/W2122736337","doi":"https://doi.org/10.1109/icpr.2006.160","title":"A Reflex Fuzzy Min Max Neural Network for Granular Data Classification","display_name":"A Reflex Fuzzy Min Max Neural Network for Granular Data Classification","publication_year":2006,"publication_date":"2006-01-01","ids":{"openalex":"https://openalex.org/W2122736337","doi":"https://doi.org/10.1109/icpr.2006.160","mag":"2122736337"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2006.160","doi":"https://doi.org/10.1109/icpr.2006.160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.160","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5113433371","display_name":"Abhijeet Vijay Nandedkar","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.V. Nandedkar","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur, India","[Indian Inst. of Technol., Kharagpur]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"[Indian Inst. of Technol., Kharagpur]","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004059019","display_name":"Prabir Kumar Biswas","orcid":"https://orcid.org/0000-0002-8922-1306","observed_orcids":["https://orcid.org/0000-0002-8922-1306"]},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P.K. Biswas","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur, India","[Indian Inst. of Technol., Kharagpur]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]},{"raw_affiliation_string":"[Indian Inst. of Technol., Kharagpur]","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.4966,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.60471179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"650","last_page":"653"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.47189998626708984,"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":0.47189998626708984,"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":0.3562000095844269,"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":0.053199999034404755,"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/reflex-mechanisms","display_name":"reflex mechanisms","score":0.6620000004768372},{"id":"https://openalex.org/keywords/fuzzy-min-max-neural-network","display_name":"fuzzy min-max neural network","score":0.9620000123977661},{"id":"https://openalex.org/keywords/granular-neural-networks","display_name":"granular neural networks","score":0.7860000133514404},{"id":"https://openalex.org/keywords/class-overlap","display_name":"class overlap","score":0.6809999942779541},{"id":"https://openalex.org/keywords/online-training","display_name":"online training","score":0.7269999980926514},{"id":"https://openalex.org/keywords/activation-functions","display_name":"activation functions","score":0.9440000057220459},{"id":"https://openalex.org/keywords/data-granularity","display_name":"data granularity","score":0.7419999837875366},{"id":"https://openalex.org/keywords/granular-clustering","display_name":"granular clustering","score":0.5870000123977661}],"concepts":[{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.8335872292518616},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.711327314376831},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7105376720428467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6652359962463379},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6132854223251343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5913133025169373},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5730310082435608},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.529714822769165},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4589233994483948},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.44953447580337524},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3757561445236206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15359216928482056},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.1504744589328766},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"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/icpr.2006.160","doi":"https://doi.org/10.1109/icpr.2006.160","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2006.160","pdf_url":null,"source":{"id":"https://openalex.org/S4393916651","display_name":"Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition","issn_l":"1041-3278","issn":["1041-3278","1051-4651"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"18th International Conference on Pattern Recognition (ICPR'06)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1989130143","https://openalex.org/W2007187232","https://openalex.org/W2084812512","https://openalex.org/W2129021863","https://openalex.org/W2153676086","https://openalex.org/W2154552816","https://openalex.org/W2483574785","https://openalex.org/W4230343449"],"related_works":["https://openalex.org/W2125976472","https://openalex.org/W2147974815","https://openalex.org/W2947702829","https://openalex.org/W7097943647","https://openalex.org/W1548588131","https://openalex.org/W4240319040","https://openalex.org/W2076888529","https://openalex.org/W2611626087","https://openalex.org/W2493251189","https://openalex.org/W2019550707"],"abstract_inverted_index":{"Granular":[0],"data":[1,66],"classification":[2],"and":[3,8,100],"clustering":[4],"is":[5,39],"an":[6],"upcoming":[7],"important":[9],"issue":[10],"in":[11],"the":[12,78],"field":[13],"of":[14,67,84],"pattern":[15],"recognition.":[16],"The":[17,57],"paper":[18],"proposes":[19],"a":[20],"granular":[21,53],"neural":[22,29,95],"network":[23,47,96],"called":[24],"as":[25],"\"reflex":[26],"fuzzy":[27,92],"min-max":[28],"network\"":[30],"for":[31],"classification.":[32],"Reflex":[33],"mechanism":[34],"inspired":[35],"from":[36],"human":[37],"brain":[38],"exploited":[40],"here":[41],"to":[42,64,90],"handle":[43],"class":[44],"overlaps.":[45],"This":[46],"can":[48,81],"be":[49],"trained":[50],"on-line":[51],"using":[52],"or":[54],"point":[55],"data.":[56],"proposed":[58,79,97],"neuron":[59],"activation":[60],"functions":[61],"are":[62],"designed":[63],"tackle":[65],"different":[68,85],"granularity":[69,86],"(size).":[70],"Experimental":[71],"results":[72],"on":[73],"real":[74],"datasets":[75],"show":[76],"that":[77],"algorithm":[80],"classify":[82],"granules":[83],"more":[87],"correctly":[88],"compared":[89],"general":[91],"min":[93],"max":[94],"by":[98],"Gabrycz":[99],"Bargiela":[101]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2016-06-24T00:00:00"}