{"id":"https://openalex.org/W2058725357","doi":"https://doi.org/10.1080/01969720590961736","title":"SIGNIFICANT FUZZY RULES EXTRACTION BY AN SVD\u2013QR-BASED APPROACH","display_name":"SIGNIFICANT FUZZY RULES EXTRACTION BY AN SVD\u2013QR-BASED APPROACH","publication_year":2005,"publication_date":"2005-09-01","ids":{"openalex":"https://openalex.org/W2058725357","doi":"https://doi.org/10.1080/01969720590961736","mag":"2058725357"},"language":"en","primary_location":{"id":"doi:10.1080/01969720590961736","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720590961736","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","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/A5080741321","display_name":"Chia\u2010Chong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I162521676","display_name":"WuFeng University","ror":"https://ror.org/05d293n36","country_code":"TW","type":"education","lineage":["https://openalex.org/I162521676"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chia-Chong Chen","raw_affiliation_strings":["Department of Electronic Engineering, Wufeng Institute of Technology, Chiayi Hsien, Taiwan, Republic of China","Department of Electronic Engineering , Wufeng Institute of Technology , Chiayi Hsien, Taiwan, Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Wufeng Institute of Technology, Chiayi Hsien, Taiwan, Republic of China","institution_ids":["https://openalex.org/I162521676"]},{"raw_affiliation_string":"Department of Electronic Engineering , Wufeng Institute of Technology , Chiayi Hsien, Taiwan, Republic of China","institution_ids":["https://openalex.org/I162521676"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037232729","display_name":"Ching\u2010Chang Wong","orcid":"https://orcid.org/0000-0003-1095-728X"},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Chang Wong","raw_affiliation_strings":["Department of Electrical Engineering, Tamkang University, Tamsui, Taipei Hsien, Taiwan, Republic of China","Department of Electrical Engineering , Tamkang University, Tamsui, Taipei Hsien , Taiwan, Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tamkang University, Tamsui, Taipei Hsien, Taiwan, Republic of China","institution_ids":["https://openalex.org/I107470533"]},{"raw_affiliation_string":"Department of Electrical Engineering , Tamkang University, Tamsui, Taipei Hsien , Taiwan, Republic of China","institution_ids":["https://openalex.org/I107470533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080741321"],"corresponding_institution_ids":["https://openalex.org/I162521676"],"apc_list":null,"apc_paid":null,"fwci":1.0572,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84635495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"36","issue":"6","first_page":"597","last_page":"622"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9994999766349792,"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":0.9994999766349792,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.970300018787384,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.968500018119812,"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/defuzzification","display_name":"Defuzzification","score":0.6725694537162781},{"id":"https://openalex.org/keywords/fuzzy-associative-matrix","display_name":"Fuzzy associative matrix","score":0.6476610898971558},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.6285812854766846},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.610289454460144},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.6097978353500366},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.6008193492889404},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5991179943084717},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5884905457496643},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.5285968780517578},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4632061719894409},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.45755258202552795},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.41948583722114563},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.41517066955566406},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3970147967338562},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.357666552066803},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3305613398551941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26061543822288513}],"concepts":[{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.6725694537162781},{"id":"https://openalex.org/C144170203","wikidata":"https://www.wikidata.org/wiki/Q5511099","display_name":"Fuzzy associative matrix","level":5,"score":0.6476610898971558},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.6285812854766846},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.610289454460144},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.6097978353500366},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.6008193492889404},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5991179943084717},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5884905457496643},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.5285968780517578},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4632061719894409},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.45755258202552795},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.41948583722114563},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.41517066955566406},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3970147967338562},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.357666552066803},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3305613398551941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26061543822288513}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01969720590961736","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01969720590961736","pdf_url":null,"source":{"id":"https://openalex.org/S117436046","display_name":"Cybernetics & Systems","issn_l":"0196-9722","issn":["0196-9722","1087-6553"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cybernetics and Systems","raw_type":"journal-article"},{"id":"pmh:oai:tkuir.lib.tku.edu.tw:987654321/46356","is_oa":false,"landing_page_url":"https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46356","pdf_url":null,"source":{"id":"https://openalex.org/S4406922698","display_name":"Tamkang University Institutional Repository (TKUIR)","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W105570759","https://openalex.org/W2019207321","https://openalex.org/W2019606348","https://openalex.org/W2050288270","https://openalex.org/W2071336597","https://openalex.org/W2079325629","https://openalex.org/W2101036899","https://openalex.org/W2102634648","https://openalex.org/W2140287033","https://openalex.org/W2141577822","https://openalex.org/W2141649146","https://openalex.org/W2146150422","https://openalex.org/W2161171165","https://openalex.org/W2798909945","https://openalex.org/W4232430140"],"related_works":["https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W2184441312","https://openalex.org/W1952396636","https://openalex.org/W85606319","https://openalex.org/W173448675","https://openalex.org/W116041356","https://openalex.org/W2331106272","https://openalex.org/W2148346439","https://openalex.org/W1980652001"],"abstract_inverted_index":{"In":[0,56,77],"this":[1],"article,":[2],"an":[3,25,53,74],"SVD\u2013QR-based":[4,139],"approach":[5,48],"is":[6,45,108,122,152,164,188],"proposed":[7,192,203],"to":[8,23,47,70,79,111,166,177],"extract":[9,80],"the":[10,35,49,57,61,81,86,90,100,104,112,116,125,131,138,155,160,168,172,178,191,199,202],"important":[11,82,119,132],"fuzzy":[12,20,27,39,42,63,66,83,92,106,120,133,144,150,174,186],"rules":[13,84,121,134,151],"from":[14,30,85],"a":[15,71,94,142,184],"rule":[16,21,43,58,67,87,145],"base":[17,59,88,146],"with":[18,41],"several":[19],"tables":[22,44],"design":[24],"appropriate":[26],"system":[28,40,175,187],"directly":[29],"some":[31],"input-output":[32,50,180],"data":[33,181],"of":[34,52,60,73,89,103,118,148,171,201],"identified":[36,54],"system.":[37,55],"A":[38],"defined":[46,62,91],"pairs":[51],"system,":[64,93],"each":[65],"table":[68],"corresponds":[69],"partition":[72],"input":[75],"space.":[76],"order":[78],"firing":[95,113,156],"strength":[96,114,157],"matrix":[97],"determined":[98,123,153,189],"by":[99,124,137,154,190],"membership":[101],"functions":[102],"premise":[105],"sets":[107],"constructed.":[109],"According":[110],"matrix,":[115],"number":[117],"Singular":[126],"Value":[127],"Decomposition":[128],"SVD,":[129],"and":[130],"are":[135],"selected":[136],"method.":[140,193,204],"Consequently,":[141],"reconstructed":[143,173],"composed":[147],"significant":[149],"matrix.":[158],"Furthermore,":[159],"recursive":[161],"least-squares":[162],"method":[163],"applied":[165],"determine":[167],"consequent":[169],"part":[170],"according":[176],"gathered":[179],"so":[182],"that":[183],"fine":[185],"Finally,":[194],"three":[195],"nonlinear":[196],"systems":[197],"illustrate":[198],"efficiency":[200]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}