{"id":"https://openalex.org/W2175694962","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338088","title":"Evolving Complex-Valued Interval Type-2 Fuzzy Inference System","display_name":"Evolving Complex-Valued Interval Type-2 Fuzzy Inference System","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W2175694962","doi":"https://doi.org/10.1109/fuzz-ieee.2015.7338088","mag":"2175694962"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2015.7338088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 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/A5073989080","display_name":"K. R. Subramanian","orcid":"https://orcid.org/0000-0002-5979-797X"},"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":true,"raw_author_name":"K. Subramanian","raw_affiliation_strings":["Air Traffic Management Research Institute, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Air Traffic Management Research Institute, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100765440","display_name":"Suresh Sundaram","orcid":"https://orcid.org/0000-0001-6275-0921"},"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":"S. Suresh","raw_affiliation_strings":["School of Computer Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5073989080"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.4314,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76603421,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"123","issue":null,"first_page":"1","last_page":"6"},"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":0.9984999895095825,"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":0.9962999820709229,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6023946404457092},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5881637334823608},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.5295529961585999},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5222811698913574},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4789738655090332},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.45970234274864197},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.45852935314178467},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4527398347854614},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.44666820764541626},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.444665789604187},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.43108803033828735},{"id":"https://openalex.org/keywords/rule-of-inference","display_name":"Rule of inference","score":0.4181930720806122},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.41348016262054443},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.41182610392570496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40722450613975525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37941792607307434},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3068714141845703}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6023946404457092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5881637334823608},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5295529961585999},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5222811698913574},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4789738655090332},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.45970234274864197},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.45852935314178467},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4527398347854614},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.44666820764541626},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.444665789604187},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.43108803033828735},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.4181930720806122},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.41348016262054443},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.41182610392570496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40722450613975525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37941792607307434},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3068714141845703},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2015.7338088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2015.7338088","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W99912631","https://openalex.org/W1974431321","https://openalex.org/W1975926472","https://openalex.org/W2022673907","https://openalex.org/W2039652152","https://openalex.org/W2042042193","https://openalex.org/W2051137709","https://openalex.org/W2062494478","https://openalex.org/W2070097968","https://openalex.org/W2075427495","https://openalex.org/W2075665712","https://openalex.org/W2080460674","https://openalex.org/W2084812512","https://openalex.org/W2090794980","https://openalex.org/W2124514331","https://openalex.org/W2129013743","https://openalex.org/W2149604064","https://openalex.org/W2153635508","https://openalex.org/W2157041604","https://openalex.org/W2162706466","https://openalex.org/W2168618665","https://openalex.org/W2598771954","https://openalex.org/W2982720039","https://openalex.org/W2984822303","https://openalex.org/W4245152641","https://openalex.org/W6604121850","https://openalex.org/W6682133608"],"related_works":["https://openalex.org/W2062301117","https://openalex.org/W2118406295","https://openalex.org/W2024822381","https://openalex.org/W2109378014","https://openalex.org/W43632131","https://openalex.org/W2389580267","https://openalex.org/W2425308538","https://openalex.org/W2062917877","https://openalex.org/W1980652001","https://openalex.org/W1599286256"],"abstract_inverted_index":{"Interval":[0,45],"Type-2":[1,46],"fuzzy":[2,22,57,222],"systems":[3],"have":[4,24],"been":[5,25],"shown":[6],"to":[7,27,41,51,104,165],"be":[8,28],"extremely":[9],"capable":[10,29],"of":[11,30,169,185,199,208,228],"handling":[12],"vagueness":[13],"as":[14,16,52,219,221],"well":[15,220],"uncertainty":[17],"in":[18,77,93,108,194],"data,":[19],"while":[20],"complex-valued":[21,44,218],"sets":[23],"demonstrated":[26],"solving":[31],"classification":[32,210],"problems":[33],"efficiently.":[34],"This":[35,143],"paper":[36],"combines":[37],"their":[38],"collective":[39],"advantage":[40,227],"propose":[42],"a":[43,59,137,172,206],"Fuzzy":[47],"Inference":[48],"System":[49],"(referred":[50],"CIT2FIS).":[53],"To":[54,179],"derive":[55],"the":[56,75,85,88,94,106,109,112,119,125,129,146,167,170,182,186,200,226,229],"rules,":[58],"Recursive":[60],"Least":[61],"Squares":[62],"based":[63,123,156,161],"algorithm":[64,69],"is":[65,141,155,177,192,203],"proposed.":[66],"The":[67,197,212],"proposed":[68,201,230],"evolves":[70],"(add/":[71],"prune)":[72],"and":[73,90,97,128,151],"adapts":[74],"rules":[76,99],"an":[78],"evolving":[79],"online":[80],"fashion.":[81],"During":[82],"sequential":[83],"learning,":[84],"network":[86],"monitors":[87],"error":[89],"knowledge":[91,107],"contained":[92],"current":[95,126],"sample":[96],"either":[98],"are":[100,121,132],"evolved":[101],"(added,":[102],"pruned)":[103],"capture":[105],"sample,":[110],"or":[111],"rule":[113,117,147,174],"parameter":[114],"updated.":[115],"Upon":[116],"addition,":[118],"centers":[120],"determined":[122,134],"on":[124,157,205],"input":[127],"output":[130],"weights":[131],"analytically":[133],"such":[135],"that":[136,145],"least":[138,159],"squares":[139,160],"fit":[140],"obtained.":[142],"ensures":[144],"retain":[148],"its":[149],"interpretability":[150],"accuracy.":[152],"Parameter":[153],"update":[154],"recursive":[158],"approach.":[162],"In":[163],"order":[164],"maintain":[166],"parsimony":[168],"network,":[171,187],"data-driven":[173],"pruning":[175],"scheme":[176],"employed.":[178],"further":[180],"enhance":[181],"generalization":[183],"ability":[184],"wellknown":[188],"meta-cognitive":[189],"learning":[190],"mechanism":[191],"employed":[193],"this":[195],"work.":[196,231],"performance":[198,213],"CIT2FIS":[202],"evaluated":[204],"set":[207],"real-valued":[209],"problems.":[211],"comparison":[214],"with":[215],"other":[216],"state-of-the-art":[217],"classifiers":[223],"clearly":[224],"highlights":[225]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}