{"id":"https://openalex.org/W2133085637","doi":"https://doi.org/10.1162/0899766052530857","title":"RSPOP: Rough Set\u2013Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm","display_name":"RSPOP: Rough Set\u2013Based Pseudo Outer-Product Fuzzy Rule Identification Algorithm","publication_year":2004,"publication_date":"2004-11-25","ids":{"openalex":"https://openalex.org/W2133085637","doi":"https://doi.org/10.1162/0899766052530857","mag":"2133085637","pmid":"https://pubmed.ncbi.nlm.nih.gov/15563753"},"language":"en","primary_location":{"id":"doi:10.1162/0899766052530857","is_oa":false,"landing_page_url":"https://doi.org/10.1162/0899766052530857","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100320376","display_name":"Kai Keng Ang","orcid":"https://orcid.org/0000-0002-3053-6311"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kai Keng Ang","raw_affiliation_strings":["Centre for Computational Intelligence, Nanyang Technological University, School of Computer Engineering, Singapore 639798,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Computational Intelligence, Nanyang Technological University, School of Computer Engineering, Singapore 639798,","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063229067","display_name":"Chai Quek","orcid":"https://orcid.org/0000-0002-7313-4339"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Chai Quek","raw_affiliation_strings":["Centre for Computational Intelligence, Nanyang Technological University, School of Computer Engineering, Singapore 639798,"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Computational Intelligence, Nanyang Technological University, School of Computer Engineering, Singapore 639798,","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":8.5494,"has_fulltext":false,"cited_by_count":111,"citation_normalized_percentile":{"value":0.98151187,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"1","first_page":"205","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9983999729156494,"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":0.9771999716758728,"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/algorithm","display_name":"Algorithm","score":0.5854169130325317},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5330114960670471},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5210304260253906},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4794146716594696},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4744502305984497},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45049914717674255},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.4207339286804199},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3874189257621765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38470375537872314},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3450201749801636}],"concepts":[{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5854169130325317},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5330114960670471},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5210304260253906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4794146716594696},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4744502305984497},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45049914717674255},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.4207339286804199},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3874189257621765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38470375537872314},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3450201749801636},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D017143","descriptor_name":"Fuzzy Logic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1162/0899766052530857","is_oa":false,"landing_page_url":"https://doi.org/10.1162/0899766052530857","pdf_url":null,"source":{"id":"https://openalex.org/S207023548","display_name":"Neural Computation","issn_l":"0899-7667","issn":["0899-7667","1530-888X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computation","raw_type":"journal-article"},{"id":"pmid:15563753","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/15563753","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural computation","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W23758216","https://openalex.org/W581240960","https://openalex.org/W635500860","https://openalex.org/W1482209170","https://openalex.org/W1536559965","https://openalex.org/W1540552788","https://openalex.org/W1557923305","https://openalex.org/W1570834090","https://openalex.org/W1576064560","https://openalex.org/W1964468250","https://openalex.org/W1970186389","https://openalex.org/W1991848143","https://openalex.org/W1992176519","https://openalex.org/W2003525885","https://openalex.org/W2004873643","https://openalex.org/W2011089314","https://openalex.org/W2011534285","https://openalex.org/W2011888061","https://openalex.org/W2016415759","https://openalex.org/W2019207321","https://openalex.org/W2020889369","https://openalex.org/W2025014999","https://openalex.org/W2033810817","https://openalex.org/W2035545706","https://openalex.org/W2039223699","https://openalex.org/W2042729862","https://openalex.org/W2046738003","https://openalex.org/W2050713825","https://openalex.org/W2055912210","https://openalex.org/W2059148040","https://openalex.org/W2060170770","https://openalex.org/W2062100414","https://openalex.org/W2074619277","https://openalex.org/W2079325629","https://openalex.org/W2081159345","https://openalex.org/W2089137303","https://openalex.org/W2111204393","https://openalex.org/W2111547651","https://openalex.org/W2116841002","https://openalex.org/W2119893066","https://openalex.org/W2123509054","https://openalex.org/W2124065547","https://openalex.org/W2128431497","https://openalex.org/W2128539603","https://openalex.org/W2128597623","https://openalex.org/W2131054889","https://openalex.org/W2140190241","https://openalex.org/W2143935103","https://openalex.org/W2144276202","https://openalex.org/W2144397661","https://openalex.org/W2147700513","https://openalex.org/W2156060469","https://openalex.org/W2157041604","https://openalex.org/W2159111290","https://openalex.org/W2159265133","https://openalex.org/W2159371584","https://openalex.org/W2162635690","https://openalex.org/W2171823234","https://openalex.org/W4240278385","https://openalex.org/W4245152641","https://openalex.org/W4249749961"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2107349454","https://openalex.org/W2382278777","https://openalex.org/W2353240132","https://openalex.org/W1587347718","https://openalex.org/W2375932290","https://openalex.org/W1964260090","https://openalex.org/W1486178390","https://openalex.org/W2394308601","https://openalex.org/W2012731963"],"abstract_inverted_index":{"System":[0],"modeling":[1],"with":[2,83],"neuro-fuzzy":[3,196],"systems":[4,197],"involves":[5],"two":[6],"contradictory":[7],"requirements:":[8],"interpretability":[9,52,194],"verses":[10],"accuracy.":[11],"The":[12,87],"pseudo":[13,24,67,186],"outer-product":[14,68,187],"(POP)":[15],"rule":[16,118,171],"identification":[17],"algorithm":[18,70,89,161,188],"used":[19],"in":[20,35,56,115,166],"the":[21,36,51,54,73,84,96,103,130,134,155,159,167,182,193,206,209],"family":[22],"of":[23,38,53,76,98,157,172,195,208],"outer-product-based":[25],"fuzzy":[26,40,58,164,202],"neural":[27],"networks":[28],"(POPFNN)":[29],"suffered":[30],"from":[31,46,79],"an":[32,120],"exponential":[33],"increase":[34],"number":[37],"identified":[39],"rules":[41,106,165],"and":[42,145,174,204],"computational":[43,190],"complexity":[44],"arising":[45],"high-dimensional":[47],"data.":[48],"This":[49,60],"decreases":[50],"POPFNN":[55,126,168],"linguistic":[57],"modeling.":[59],"article":[61],"proposes":[62],"a":[63,116],"novel":[64],"rough":[65,80,184],"set-based":[66,185],"(RSPOP)":[69],"that":[71,132,181],"integrates":[72],"sound":[74],"concept":[75],"knowledge":[77],"reduction":[78,97,104],"set":[81],"theory":[82],"POP":[85],"algorithm.":[86],"proposed":[88,160,183],"not":[90],"only":[91],"performs":[92],"feature":[93],"selection":[94],"through":[95],"attributes":[99],"but":[100],"also":[101],"extends":[102],"to":[105,127,153,162],"without":[107],"redundant":[108],"attributes.":[109],"As":[110],"many":[111],"possible":[112],"reducts":[113,131],"exist":[114],"given":[117],"set,":[119],"objective":[121],"measure":[122],"is":[123],"developed":[124],"for":[125],"correctly":[128],"identify":[129,163],"improve":[133],"inferred":[135],"consequence.":[136],"Experimental":[137],"results":[138],"are":[139],"presented":[140],"using":[141,158,169],"published":[142],"data":[143],"sets":[144],"real-world":[146],"application":[147],"involving":[148],"highway":[149],"traffic":[150],"flow":[151],"prediction":[152],"evaluate":[154],"effectiveness":[156],"compositional":[170],"inference":[173],"singleton":[175],"fuzzifier":[176],"(POPFNN-CRI(S))":[177],"architecture.":[178],"Results":[179],"showed":[180],"reduces":[189],"complexity,":[191],"improves":[192,205],"by":[198],"identifying":[199],"significantly":[200],"fewer":[201],"rules,":[203],"accuracy":[207],"POPFNN.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":11}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}