{"id":"https://openalex.org/W2745584700","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015386","title":"Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods","display_name":"Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2745584700","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015386","mag":"2745584700"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5005024504","display_name":"Chin Ying Teh","orcid":"https://orcid.org/0000-0002-5874-5887"},"institutions":[{"id":"https://openalex.org/I41461413","display_name":"Universiti Malaysia Sarawak","ror":"https://ror.org/05b307002","country_code":"MY","type":"education","lineage":["https://openalex.org/I41461413"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Chin Ying Teh","raw_affiliation_strings":["Department of Electronic Engineering, Universiti Malaysia, Sarawak, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Universiti Malaysia, Sarawak, Malaysia","institution_ids":["https://openalex.org/I41461413"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088594549","display_name":"Kai Meng Tay","orcid":"https://orcid.org/0000-0002-0076-6167"},"institutions":[{"id":"https://openalex.org/I41461413","display_name":"Universiti Malaysia Sarawak","ror":"https://ror.org/05b307002","country_code":"MY","type":"education","lineage":["https://openalex.org/I41461413"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Kai Meng Tay","raw_affiliation_strings":["Department of Electronic Engineering, Universiti Malaysia, Sarawak, Malaysia"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Universiti Malaysia, Sarawak, Malaysia","institution_ids":["https://openalex.org/I41461413"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072923302","display_name":"Chee Peng Lim","orcid":"https://orcid.org/0000-0003-4191-9083"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chee Peng Lim","raw_affiliation_strings":["Institute for Intelligent Systems Research and Innovation, Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Institute for Intelligent Systems Research and Innovation, Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005024504"],"corresponding_institution_ids":["https://openalex.org/I41461413"],"apc_list":null,"apc_paid":null,"fwci":0.7801,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79356628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9957000017166138,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.6551811099052429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4857366681098938},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.46940648555755615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45895275473594666},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.45376646518707275},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4532212018966675},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44540491700172424},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3502779006958008},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27255403995513916}],"concepts":[{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.6551811099052429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4857366681098938},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.46940648555755615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45895275473594666},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.45376646518707275},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4532212018966675},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44540491700172424},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3502779006958008},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27255403995513916},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015386","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:ir.unimas.my:17423","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400335","display_name":"Unimas Institutional Repository (Universiti Malaysia Sarawak)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I41461413","host_organization_name":"Universiti Malaysia Sarawak","host_organization_lineage":["https://openalex.org/I41461413"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1491622225","https://openalex.org/W1966217790","https://openalex.org/W1979038833","https://openalex.org/W1981119555","https://openalex.org/W1983425265","https://openalex.org/W1983561707","https://openalex.org/W1987976143","https://openalex.org/W1996786357","https://openalex.org/W1997259354","https://openalex.org/W2010315937","https://openalex.org/W2015661117","https://openalex.org/W2019207321","https://openalex.org/W2019606348","https://openalex.org/W2032521963","https://openalex.org/W2046738003","https://openalex.org/W2050288270","https://openalex.org/W2051812123","https://openalex.org/W2052188750","https://openalex.org/W2076579537","https://openalex.org/W2079325629","https://openalex.org/W2084387308","https://openalex.org/W2103414828","https://openalex.org/W2103863914","https://openalex.org/W2108913366","https://openalex.org/W2124227618","https://openalex.org/W2156950153","https://openalex.org/W2159265133","https://openalex.org/W2344287788","https://openalex.org/W2344820986","https://openalex.org/W3023540311","https://openalex.org/W4232430140","https://openalex.org/W6629379589","https://openalex.org/W6645105105"],"related_works":["https://openalex.org/W4301895170","https://openalex.org/W2163760347","https://openalex.org/W2963936214","https://openalex.org/W2610026222","https://openalex.org/W2784024314","https://openalex.org/W1970485118","https://openalex.org/W2055418304","https://openalex.org/W2055780997","https://openalex.org/W2085901578","https://openalex.org/W3122495059"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"ad":[3,64],"hoc":[4,65],"and":[5,33,84],"system":[6,76,155],"identification":[7,77,156],"methods":[8],"are":[9],"used":[10,126],"to":[11,110,121],"generate":[12],"fuzzy":[13,36,41,56,116,133],"If-Then":[14,57,117],"rules":[15,58,118],"for":[16,92,127,145],"a":[17,26,39,75,80,94,105,111,140,151],"zero-order":[18],"Takagi-Sugeno-Kang":[19],"(TSK)":[20],"Fuzzy":[21],"Inference":[22],"System":[23],"(FIS)":[24],"using":[25,62,74],"set":[27,108],"of":[28,153],"multi-attribute":[29,52],"monotone":[30,53,95,112,132],"data.":[31],"Convex":[32],"normal":[34],"trapezoidal":[35],"sets,":[37],"with":[38,51,104],"strong":[40],"partition":[42],"strategy,":[43],"is":[44,90,136,148],"employed.":[45],"Our":[46],"analysis":[47],"shows":[48,101],"that":[49,102],"even":[50,103],"data,":[54],"non-monotone":[55],"can":[59,70],"be":[60,71,122],"produced":[61],"an":[63],"method.":[66,157],"The":[67],"same":[68],"observation":[69],"made,":[72],"empirically,":[73],"method,":[78],"e.g.,":[79],"derivative-based":[81],"optimization":[82],"method":[83,144],"the":[85,99,114,154],"genetic":[86],"algorithm.":[87],"This":[88],"finding":[89],"important":[91],"modeling":[93],"FIS":[96,128,146],"model,":[97],"as":[98,150],"result":[100],"\u201cclean\u201d":[106],"data":[107],"pertaining":[109],"system,":[113],"generated":[115],"may":[119],"need":[120],"pre-processed,":[123],"before":[124],"being":[125],"modeling.":[129],"As":[130],"such,":[131],"rule":[134],"relabeling":[135],"useful.":[137],"Besides":[138],"that,":[139],"constrained":[141],"non-linear":[142],"programming":[143],"modelling":[147],"suggested,":[149],"variant":[152]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
