{"id":"https://openalex.org/W2046639854","doi":"https://doi.org/10.1109/fskd.2010.5569627","title":"Granular neural networks computing on fuzzy information table","display_name":"Granular neural networks computing on fuzzy information table","publication_year":2010,"publication_date":"2010-08-01","ids":{"openalex":"https://openalex.org/W2046639854","doi":"https://doi.org/10.1109/fskd.2010.5569627","mag":"2046639854"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2010.5569627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569627","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","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/A5026628154","display_name":"Xuemei Ding","orcid":"https://orcid.org/0000-0002-8644-4256"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuemei Ding","raw_affiliation_strings":["Faculty of Software, Fujian Normal University, Fuzhou, China","Faculty of Software, Fujian Normal University, Fuzhou, china"],"affiliations":[{"raw_affiliation_string":"Faculty of Software, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Faculty of Software, Fujian Normal University, Fuzhou, china","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101856202","display_name":"Zhiyong Zeng","orcid":"https://orcid.org/0000-0002-7551-7456"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong Zeng","raw_affiliation_strings":["Faculty of Software, Fujian Normal University, Fuzhou, China","Faculty of Software, Fujian Normal University, Fuzhou, china"],"affiliations":[{"raw_affiliation_string":"Faculty of Software, Fujian Normal University, Fuzhou, China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Faculty of Software, Fujian Normal University, Fuzhou, china","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034480093","display_name":"Lijun Lun","orcid":null},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]},{"id":"https://openalex.org/I134052481","display_name":"Harbin Normal University","ror":"https://ror.org/0270y6950","country_code":"CN","type":"education","lineage":["https://openalex.org/I134052481"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Lun","raw_affiliation_strings":["College of Computer Science and Information Engineering, Harbin Normal University, Harbin, China","Faculty of Software, Fujian Normal University, Fuzhou, china"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Information Engineering, Harbin Normal University, Harbin, China","institution_ids":["https://openalex.org/I134052481"]},{"raw_affiliation_string":"Faculty of Software, Fujian Normal University, Fuzhou, china","institution_ids":["https://openalex.org/I111753288"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026628154"],"corresponding_institution_ids":["https://openalex.org/I111753288"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22338569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"412","last_page":"418"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9976999759674072,"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":0.9934999942779541,"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/granular-computing","display_name":"Granular computing","score":0.8844137191772461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6897594332695007},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.642787516117096},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.616921603679657},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.611986517906189},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5796448588371277},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4639752507209778},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.41881367564201355},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4137047529220581},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3422509431838989},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.216426283121109}],"concepts":[{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.8844137191772461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6897594332695007},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.642787516117096},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.616921603679657},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.611986517906189},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5796448588371277},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4639752507209778},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.41881367564201355},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4137047529220581},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3422509431838989},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.216426283121109}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2010.5569627","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2010.5569627","pdf_url":null,"source":{"id":"https://openalex.org/S4363608217","display_name":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W29214402","https://openalex.org/W35443423","https://openalex.org/W79236063","https://openalex.org/W1613269347","https://openalex.org/W1930125749","https://openalex.org/W1958226027","https://openalex.org/W2081702909","https://openalex.org/W2085029196","https://openalex.org/W2099670837","https://openalex.org/W2103144563","https://openalex.org/W2143972576","https://openalex.org/W2153676086","https://openalex.org/W2350775761","https://openalex.org/W2380629265","https://openalex.org/W2506703326","https://openalex.org/W6601181046","https://openalex.org/W6636519884"],"related_works":["https://openalex.org/W2350522004","https://openalex.org/W2370755174","https://openalex.org/W2377101006","https://openalex.org/W2187139637","https://openalex.org/W2350247864","https://openalex.org/W3207109968","https://openalex.org/W2133615482","https://openalex.org/W135622916","https://openalex.org/W829773823","https://openalex.org/W2937114745"],"abstract_inverted_index":{"Granular":[0],"computing":[1,32,142],"is":[2,13,49,69,87,124,143],"the":[3,15,60,72],"key":[4],"to":[5,51,89,109,167],"granular":[6,31,34,99,104,126,141],"neural":[7,35,84,100,105,127],"networks,":[8],"and":[9,21,30,58,71,102,140],"in":[10,18,33,37,75,97,113,132,136,151],"fact":[11],"it":[12],"also":[14,161],"main":[16],"problem":[17],"knowledge":[19,133],"discovery":[20,134],"data":[22,57,62,76,138],"mining.":[23],"This":[24],"paper":[25],"addresses":[26],"fuzzy":[27,40,46,83,94,103,137],"information":[28,47,67,95,117],"extraction":[29],"networks":[36,128],"order":[38],"that":[39,125],"rules":[41,112],"can":[42,63,129],"be":[43,52,64,130,168],"discovered":[44,79],"from":[45],"which":[48,164],"difficult":[50],"measured":[53],"accurately":[54],"with":[55,91],"numerical":[56],"furthermore":[59],"missing":[61,111],"predicted.":[65],"An":[66],"table":[68,96],"modeled":[70],"relation":[73],"embedded":[74,135],"has":[77],"been":[78],"through":[80],"granulation.":[81],"A":[82],"network":[85,101,106],"model":[86],"proposed":[88],"learn":[90],"a":[92,114],"given":[93],"crisp":[98],"respectively,":[107],"then":[108],"predict":[110],"larger":[115],"scale":[116],"table.":[118],"The":[119,145],"conclusion":[120],"based":[121],"on":[122],"experiments":[123],"used":[131],"base":[139],"accomplished.":[144],"developed":[146],"techniques":[147],"have":[148],"promising":[149],"applications":[150],"stock-markets":[152],"forecasting":[153],"especially":[154],"expressing":[155],"not":[156],"only":[157],"technical":[158],"factors":[159],"but":[160],"fundamental":[162],"aspects":[163],"are":[165],"hard":[166],"quantified.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}