{"id":"https://openalex.org/W3201956228","doi":"https://doi.org/10.34768/amcs-2021-0030","title":"GrNFS: A granular neuro-fuzzy system for regression in large volume data","display_name":"GrNFS: A granular neuro-fuzzy system for regression in large volume data","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3201956228","doi":"https://doi.org/10.34768/amcs-2021-0030","mag":"3201956228"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2021-0030","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0030","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0030","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083277191","display_name":"Krzysztof Simi\u0144ski","orcid":"https://orcid.org/0000-0002-6118-606X"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Krzysztof Siminski","raw_affiliation_strings":["Department of Algorithmics and Software, Silesian University of Technology"],"affiliations":[{"raw_affiliation_string":"Department of Algorithmics and Software, Silesian University of Technology","institution_ids":["https://openalex.org/I119004910"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5083277191"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":{"value":4080,"currency":"PLN","value_usd":1100,"provenance":"doaj"},"apc_paid":{"value":4080,"currency":"PLN","value_usd":1100,"provenance":"doaj"},"fwci":0.456,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.793627,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":78},"biblio":{"volume":"31","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9571,"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/T10320","display_name":"Neural Networks and Applications","score":0.9571,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9213,"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":[],"concepts":[{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6531697},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5135453},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4377472},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42739975},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4063332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36387753},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3451835},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.32286826},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29516804},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2898049},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.21111059},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.05589488},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.055267245}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2021-0030","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0030","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/aab33ef5bab744a4a51abdc503ee48e6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.34768/amcs-2021-0030","pdf_url":"https://sciendo.com/pdf/10.34768/amcs-2021-0030","source":{"id":"https://openalex.org/S117679522","display_name":"International Journal of Applied Mathematics and Computer Science","issn_l":"1641-876X","issn":["1641-876X","2083-8492"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320322","host_organization_name":"De Gruyter Open","host_organization_lineage":["https://openalex.org/P4310320322","https://openalex.org/P4310313990"],"host_organization_lineage_names":["De Gruyter Open","De Gruyter"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.44,"display_name":"Climate action"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":51,"referenced_works":["https://openalex.org/W1504062128","https://openalex.org/W1542883383","https://openalex.org/W169586217","https://openalex.org/W1967008192","https://openalex.org/W1971687147","https://openalex.org/W1979199342","https://openalex.org/W1990368529","https://openalex.org/W2016086965","https://openalex.org/W2016390608","https://openalex.org/W2018113971","https://openalex.org/W2029963556","https://openalex.org/W2038384345","https://openalex.org/W2043994465","https://openalex.org/W2046738003","https://openalex.org/W2052107565","https://openalex.org/W2059429344","https://openalex.org/W2069997509","https://openalex.org/W2070417844","https://openalex.org/W2082245985","https://openalex.org/W2082425819","https://openalex.org/W2083764517","https://openalex.org/W2084126977","https://openalex.org/W2094534479","https://openalex.org/W2094631910","https://openalex.org/W2114883321","https://openalex.org/W2117315444","https://openalex.org/W2128539603","https://openalex.org/W2140896929","https://openalex.org/W2141394518","https://openalex.org/W2147968325","https://openalex.org/W2153676086","https://openalex.org/W2165729498","https://openalex.org/W2169807773","https://openalex.org/W2170755382","https://openalex.org/W2171644697","https://openalex.org/W2291995331","https://openalex.org/W2462901270","https://openalex.org/W2574542556","https://openalex.org/W2590392954","https://openalex.org/W2592502698","https://openalex.org/W2791661525","https://openalex.org/W2892294644","https://openalex.org/W2916784550","https://openalex.org/W2943844216","https://openalex.org/W2946461872","https://openalex.org/W2974072736","https://openalex.org/W2989196101","https://openalex.org/W3182593072","https://openalex.org/W4289254296","https://openalex.org/W4310657731","https://openalex.org/W810357897"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W3186837933","https://openalex.org/W31220157","https://openalex.org/W2621086889","https://openalex.org/W2389155397","https://openalex.org/W2368989808","https://openalex.org/W2355687852","https://openalex.org/W2312753042","https://openalex.org/W2165884543","https://openalex.org/W2034959125"],"abstract_inverted_index":{"Neuro-fuzzy":[0],"systems":[1],"have":[2,23],"proved":[3],"their":[4,15],"ability":[5],"to":[6,24,30],"elaborate":[7],"intelligible":[8,121],"nonlinear":[9],"models":[10,122],"for":[11,45,124,134],"presented":[12],"data.":[13,21,48],"However,":[14],"bottleneck":[16],"is":[17,67],"the":[18,36,52,61,64,76,114,131],"volume":[19,47,126,136],"of":[20,83,107],"They":[22],"read":[25,55],"all":[26],"data":[27,53,71,97,108],"in":[28],"order":[29],"produce":[31,120],"a":[32,41,80,85,105],"model.":[33],"We":[34],"apply":[35],"granular":[37,42,116],"approach":[38],"and":[39,58,99],"propose":[40],"neuro-fuzzy":[43,117],"system":[44,90,118,129],"large":[46,125,135],"In":[49,60,75,88],"our":[50,89],"method":[51],"are":[54,92,104],"by":[56,94],"parts":[57],"granulated.":[59],"next":[62],"stage":[63],"fuzzy":[65,86,100],"model":[66],"produced":[68],"not":[69],"on":[70,73],"but":[72],"granules.":[74],"paper":[77],"we":[78],"introduce":[79],"novel":[81],"type":[82],"granules:":[84],"rule.":[87],"granules":[91],"represented":[93],"both":[95],"regular":[96],"items":[98],"rules.":[101],"Fuzzy":[102],"rules":[103],"kind":[106],"summaries.":[109],"The":[110,128],"experiments":[111],"show":[112],"that":[113],"proposed":[115],"can":[119],"even":[123],"datasets.":[127,137],"outperforms":[130],"sampling":[132],"techniques":[133]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3201956228","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-01-05T15:31:51.751708","created_date":"2021-10-11"}