{"id":"https://openalex.org/W2793740072","doi":"https://doi.org/10.1109/spac.2017.8304250","title":"Leveraging the trade-off between accuracy and interpretability in a hybrid intelligent system","display_name":"Leveraging the trade-off between accuracy and interpretability in a hybrid intelligent system","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2793740072","doi":"https://doi.org/10.1109/spac.2017.8304250","mag":"2793740072"},"language":"en","primary_location":{"id":"doi:10.1109/spac.2017.8304250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304250","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dr.ntu.edu.sg/bitstream/10356/89595/1/SPAC2017AI.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100401420","display_name":"Di Wang","orcid":"https://orcid.org/0000-0002-3171-4001"},"institutions":[{"id":"https://openalex.org/I4210092122","display_name":"BC Research (Canada)","ror":"https://ror.org/00dr4nw61","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210092122"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Di Wang","raw_affiliation_strings":["Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly"],"affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly","institution_ids":["https://openalex.org/I4210092122"]}]},{"author_position":"middle","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":["Nanyang Technological University, Singapore, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore, SG","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004167801","display_name":"Ah\u2010Hwee Tan","orcid":"https://orcid.org/0000-0003-0378-4069"},"institutions":[{"id":"https://openalex.org/I4210092122","display_name":"BC Research (Canada)","ror":"https://ror.org/00dr4nw61","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210092122"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ah-Hwee Tan","raw_affiliation_strings":["Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly"],"affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly","institution_ids":["https://openalex.org/I4210092122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100382077","display_name":"Chunyan Miao","orcid":"https://orcid.org/0000-0002-0300-3448"},"institutions":[{"id":"https://openalex.org/I4210092122","display_name":"BC Research (Canada)","ror":"https://ror.org/00dr4nw61","country_code":"CA","type":"facility","lineage":["https://openalex.org/I4210092122"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chunyan Miao","raw_affiliation_strings":["Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly"],"affiliations":[{"raw_affiliation_string":"Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly","institution_ids":["https://openalex.org/I4210092122"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107173977","display_name":"Geok See Ng","orcid":"https://orcid.org/0000-0002-9091-1822"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Geok See Ng","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore, SG","institution_ids":["https://openalex.org/I152815399"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004252848","display_name":"You Zhou","orcid":"https://orcid.org/0000-0003-1755-9073"},"institutions":[{"id":"https://openalex.org/I152815399","display_name":"Singapore University of Technology and Design","ror":"https://ror.org/05j6fvn87","country_code":"SG","type":"education","lineage":["https://openalex.org/I152815399"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"You Zhou","raw_affiliation_strings":["Singapore University of Technology and Design, Singapore, SG"],"affiliations":[{"raw_affiliation_string":"Singapore University of Technology and Design, Singapore, SG","institution_ids":["https://openalex.org/I152815399"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100401420"],"corresponding_institution_ids":["https://openalex.org/I4210092122"],"apc_list":null,"apc_paid":null,"fwci":0.3502,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6948503,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"9","issue":null,"first_page":"55","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T10320","display_name":"Neural Networks and Applications","score":0.9997000098228455,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9993000030517578,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.9151856303215027},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7013482451438904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6861633062362671},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6702257990837097},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6314842104911804},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6157135367393494},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5670909285545349},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.5573392510414124},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46705472469329834},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4326665699481964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42129161953926086},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.3926260769367218},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.34941890835762024}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9151856303215027},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7013482451438904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6861633062362671},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6702257990837097},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6314842104911804},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6157135367393494},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5670909285545349},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.5573392510414124},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46705472469329834},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4326665699481964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42129161953926086},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3926260769367218},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.34941890835762024},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/spac.2017.8304250","is_oa":false,"landing_page_url":"https://doi.org/10.1109/spac.2017.8304250","pdf_url":null,"source":{"id":"https://openalex.org/S4306498208","display_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 International Conference on Security, Pattern Analysis, and Cybernetics (SPAC)","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/89595","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/47060","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/89595/1/SPAC2017AI.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":"Conference Paper"},{"id":"pmh:oai:ink.library.smu.edu.sg:sis_research-7080","is_oa":true,"landing_page_url":"https://ink.library.smu.edu.sg/sis_research/6077","pdf_url":null,"source":{"id":"https://openalex.org/S4377196871","display_name":"Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79891267","host_organization_name":"Singapore Management University","host_organization_lineage":["https://openalex.org/I79891267"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://doi.org/10.1109/SPAC.2017.8304250","raw_type":"Conference Proceeding Article"}],"best_oa_location":{"id":"pmh:oai:dr.ntu.edu.sg:10356/89595","is_oa":true,"landing_page_url":"http://hdl.handle.net/10220/47060","pdf_url":"https://dr.ntu.edu.sg/bitstream/10356/89595/1/SPAC2017AI.pdf","source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"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":"Conference Paper"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2793740072.pdf","grobid_xml":"https://content.openalex.org/works/W2793740072.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W107286722","https://openalex.org/W155952863","https://openalex.org/W157468466","https://openalex.org/W1497256448","https://openalex.org/W1501160565","https://openalex.org/W1504694836","https://openalex.org/W1990941410","https://openalex.org/W1998627336","https://openalex.org/W1999126532","https://openalex.org/W2003322225","https://openalex.org/W2016563381","https://openalex.org/W2019207321","https://openalex.org/W2031760375","https://openalex.org/W2046738003","https://openalex.org/W2052107565","https://openalex.org/W2059827094","https://openalex.org/W2079325629","https://openalex.org/W2093487943","https://openalex.org/W2113076747","https://openalex.org/W2115090529","https://openalex.org/W2119821739","https://openalex.org/W2124776405","https://openalex.org/W2125055259","https://openalex.org/W2132037635","https://openalex.org/W2133085637","https://openalex.org/W2135605639","https://openalex.org/W2140223269","https://openalex.org/W2153305806","https://openalex.org/W2162635690","https://openalex.org/W2163737009","https://openalex.org/W2165948284","https://openalex.org/W2167378444","https://openalex.org/W2322524800","https://openalex.org/W2340020088","https://openalex.org/W3000391989","https://openalex.org/W3120740533","https://openalex.org/W3146863510","https://openalex.org/W4239510810","https://openalex.org/W4255833381","https://openalex.org/W4401384015","https://openalex.org/W6604371667","https://openalex.org/W6606439196","https://openalex.org/W6629920425"],"related_works":["https://openalex.org/W2785395359","https://openalex.org/W1549951490","https://openalex.org/W2247295643","https://openalex.org/W2111426611","https://openalex.org/W1966629635","https://openalex.org/W3159983598","https://openalex.org/W2357953609","https://openalex.org/W2367175432","https://openalex.org/W2374727787","https://openalex.org/W2288384671"],"abstract_inverted_index":{"Neural":[0,84],"Fuzzy":[1,85],"Inference":[2,86],"System":[3,87],"(NFIS)":[4],"is":[5,142],"a":[6,12,90,98],"widely":[7,21],"adopted":[8,22],"paradigm":[9],"to":[10,24,114,144],"develop":[11],"data-driven":[13],"learning":[14,58],"system.":[15],"This":[16],"hybrid":[17],"system":[18],"has":[19],"been":[20],"due":[23],"its":[25,94,107],"accurate":[26],"reasoning":[27],"procedure":[28],"and":[29,53,72,80,104,140,155],"comprehensible":[30],"inference":[31,110],"rules.":[32],"Although":[33],"most":[34],"NFISs":[35,52],"primarily":[36],"focus":[37],"on":[38,47,137],"accuracy,":[39],"we":[40,63,66,122],"have":[41],"observed":[42],"an":[43,75],"ever":[44],"increasing":[45],"demand":[46],"improving":[48],"the":[49,68],"interpretability":[50,73,117,141],"of":[51,56,101,127,135],"other":[54,150],"types":[55],"machine":[57],"systems.":[59],"In":[60,89],"this":[61],"paper,":[62],"illustrate":[64],"how":[65],"leverage":[67],"trade-off":[69],"between":[70],"accuracy":[71,139],"in":[74],"NFIS":[76],"called":[77],"Genetic":[78],"Algorithm":[79],"Rough":[81],"Set":[82],"Incorporated":[83],"(GARSINFIS).":[88],"nutshell,":[91],"GARSINFIS":[92,128,136],"self-organizes":[93],"network":[95],"structure":[96],"with":[97],"small":[99],"set":[100],"control":[102],"parameters":[103],"constraints.":[105],"Moreover,":[106],"autonomously":[108],"generated":[109],"rule":[111],"base":[112],"tries":[113],"achieve":[115],"higher":[116],"without":[118],"sacrificing":[119],"accuracy.":[120],"Furthermore,":[121],"demonstrate":[123],"different":[124],"configuration":[125],"options":[126],"using":[129],"well-known":[130],"benchmarking":[131],"datasets.":[132],"The":[133],"performance":[134],"both":[138],"shown":[143],"be":[145],"encouraging":[146],"when":[147],"compared":[148],"against":[149],"decision":[151],"tree,":[152],"Bayesian,":[153],"neural":[154,156],"fuzzy":[157],"models.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}