{"id":"https://openalex.org/W3010502621","doi":"https://doi.org/10.1109/tfuzz.2020.2979150","title":"A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI","display_name":"A New Type of Fuzzy-Rule-Based System With Chaotic Swarm Intelligence for Multiclassification of Pain Perception From fMRI","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3010502621","doi":"https://doi.org/10.1109/tfuzz.2020.2979150","mag":"3010502621"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2020.2979150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.2979150","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy 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/A5057525945","display_name":"Ahmed M. Anter","orcid":"https://orcid.org/0000-0002-8907-4369"},"institutions":[{"id":"https://openalex.org/I113643904","display_name":"Beni-Suef University","ror":"https://ror.org/05pn4yv70","country_code":"EG","type":"education","lineage":["https://openalex.org/I113643904"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN","EG"],"is_corresponding":true,"raw_author_name":"Ahmed M. Anter","raw_affiliation_strings":["Faculty of Computers and Artificial Intelligence, Beni-Suef University, Benisuef, Egypt","School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Computers and Artificial Intelligence, Beni-Suef University, Benisuef, Egypt","institution_ids":["https://openalex.org/I113643904"]},{"raw_affiliation_string":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000646590","display_name":"Gan Huang","orcid":"https://orcid.org/0000-0001-9895-6163"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gan Huang","raw_affiliation_strings":["School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015677940","display_name":"Linling Li","orcid":"https://orcid.org/0000-0001-7767-7202"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linling Li","raw_affiliation_strings":["School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100425719","display_name":"Li Zhang","orcid":"https://orcid.org/0000-0003-1641-7831"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Zhang","raw_affiliation_strings":["School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036446937","display_name":"Zhen Liang","orcid":"https://orcid.org/0000-0002-1749-2975"},"institutions":[{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Liang","raw_affiliation_strings":["School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363345","display_name":"Zhiguo Zhang","orcid":"https://orcid.org/0000-0001-7992-7965"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]},{"id":"https://openalex.org/I4210145292","display_name":"Shenzhen University Health Science Center","ror":"https://ror.org/04yjbr930","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210145292"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiguo Zhang","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China","School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I4210145292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5057525945"],"corresponding_institution_ids":["https://openalex.org/I113643904","https://openalex.org/I4210145292"],"apc_list":null,"apc_paid":null,"fwci":3.0641,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.92065964,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"28","issue":"6","first_page":"1096","last_page":"1109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10196","display_name":"Pain Mechanisms and Treatments","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6596096754074097},{"id":"https://openalex.org/keywords/functional-magnetic-resonance-imaging","display_name":"Functional magnetic resonance imaging","score":0.6074264645576477},{"id":"https://openalex.org/keywords/chaotic","display_name":"Chaotic","score":0.6014102101325989},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5930013060569763},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5687496066093445},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43907055258750916},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.42208540439605713},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39359602332115173},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11259311437606812}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6596096754074097},{"id":"https://openalex.org/C2779226451","wikidata":"https://www.wikidata.org/wiki/Q903809","display_name":"Functional magnetic resonance imaging","level":2,"score":0.6074264645576477},{"id":"https://openalex.org/C2777052490","wikidata":"https://www.wikidata.org/wiki/Q5072826","display_name":"Chaotic","level":2,"score":0.6014102101325989},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5930013060569763},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5687496066093445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43907055258750916},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.42208540439605713},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39359602332115173},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11259311437606812},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2020.2979150","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2020.2979150","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3585816296","display_name":null,"funder_award_id":"81901831","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5622395626","display_name":null,"funder_award_id":"KQTD2016053112051497","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"},{"id":"https://openalex.org/G7028512183","display_name":null,"funder_award_id":"81871443","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7545160772","display_name":null,"funder_award_id":"61701316","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8425379585","display_name":null,"funder_award_id":"61906122","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335790","display_name":"Shenzhen Peacock Plan","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W769353746","https://openalex.org/W1493918286","https://openalex.org/W1963543003","https://openalex.org/W1996523702","https://openalex.org/W2017221863","https://openalex.org/W2019207321","https://openalex.org/W2030950474","https://openalex.org/W2046357518","https://openalex.org/W2059429344","https://openalex.org/W2081717961","https://openalex.org/W2108758096","https://openalex.org/W2114651920","https://openalex.org/W2129906762","https://openalex.org/W2137829300","https://openalex.org/W2138261897","https://openalex.org/W2138383519","https://openalex.org/W2149122455","https://openalex.org/W2162381025","https://openalex.org/W2171253128","https://openalex.org/W2280147180","https://openalex.org/W2282915343","https://openalex.org/W2306115793","https://openalex.org/W2337480639","https://openalex.org/W2338203180","https://openalex.org/W2525851202","https://openalex.org/W2588447348","https://openalex.org/W2611617546","https://openalex.org/W2665735996","https://openalex.org/W2750370324","https://openalex.org/W2765952780","https://openalex.org/W2789813974","https://openalex.org/W2792035544","https://openalex.org/W2794378956","https://openalex.org/W2809545281","https://openalex.org/W2885908656","https://openalex.org/W2896457000","https://openalex.org/W2905103531","https://openalex.org/W2937078632","https://openalex.org/W2957099944","https://openalex.org/W2959384841","https://openalex.org/W2966832401","https://openalex.org/W2970739114","https://openalex.org/W3086760172","https://openalex.org/W6767393166"],"related_works":["https://openalex.org/W2004708907","https://openalex.org/W2377429601","https://openalex.org/W2386043911","https://openalex.org/W2368252804","https://openalex.org/W3003512042","https://openalex.org/W2379367191","https://openalex.org/W2352594230","https://openalex.org/W4308298483","https://openalex.org/W2380540883","https://openalex.org/W2796905408"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"has":[2],"been":[3],"increasingly":[4],"used":[5],"in":[6,132,242],"decoding":[7],"brain":[8],"states":[9],"from":[10,27,108,151,157],"functional":[11],"magnetic":[12],"resonance":[13],"imaging":[14],"(fMRI).":[15],"One":[16],"important":[17],"application":[18],"is":[19,90,101,115,126,184],"to":[20,103,128,136,164,168,178,192,238],"classify":[21,193],"the":[22,35,42,51,95,105,112,138,142,158,194,201,225],"levels":[23,49,195,206],"of":[24,38,53,119,196,207,228],"pain":[25,32,48,54,120,208,240],"perception":[26,241],"patients\u2019":[28],"fMRI":[29,39,46,189,212],"for":[30,69,117,174],"clinical":[31,243],"assessment.":[33],"However,":[34],"huge":[36],"number":[37],"features":[40,107],"and":[41,47,72,82,111,135,154,161,177,209,217,220],"complex":[43],"relationships":[44],"between":[45],"affect":[50],"performance":[52],"classification":[55],"models":[56],"heavily.":[57],"In":[58,94,122],"this":[59,123],"article,":[60],"we":[61],"introduce":[62],"a":[63,170,187],"new":[64,152,226],"fuzzy-rule-based":[65,113,229],"hybrid":[66],"optimization":[67,80],"approach":[68,89,183,203],"dimension":[70],"reduction":[71],"multiclassification":[73,118],"problems":[74],"using":[75],"chaotic":[76,98,232],"map,":[77],"crow":[78],"search":[79],"(CSO),":[81],"self-organizing":[83],"fuzzy":[84,166],"logic":[85],"prototype":[86],"(SOFLP).":[87],"The":[88,181],"named":[91],"as":[92],"CCSO\u2013SOFLP.":[93],"proposed":[96,182,202],"approach,":[97],"map-based":[99],"CSO":[100,125],"employed":[102,116],"find":[104],"optimal":[106],"ultra-high-dimensional":[109],"fMRI,":[110],"SOFLP":[114,146],"levels.":[121],"sense,":[124],"provided":[127],"avoid":[129,179],"being":[130],"stuck":[131],"local":[133,172],"minima":[134],"increase":[137],"computational":[139],"performance.":[140],"On":[141],"other":[143],"hand,":[144],"multilayer":[145],"classifier":[147],"can":[148,204],"continuously":[149],"learn":[150],"data":[153,160,190],"identify":[155,210],"prototypes":[156],"observed":[159],"use":[162],"them":[163],"build":[165],"rules,":[167],"define":[169],"suitable":[171],"area":[173],"each":[175],"prototype,":[176],"overlapping.":[180],"applied":[185],"on":[186],"pain-evoked":[188],"set":[191],"pain.":[197],"Results":[198],"indicate":[199],"that":[200],"decode":[205],"predictive":[211],"patterns":[213],"with":[214,231],"higher":[215],"accuracy":[216],"convergence":[218],"speed":[219],"shorter":[221],"execution":[222],"time.":[223],"Therefore,":[224],"type":[227],"system":[230],"swarm":[233],"intelligence":[234],"holds":[235],"great":[236],"potential":[237],"predict":[239],"uses.":[244]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}