{"id":"https://openalex.org/W4295767289","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882755","title":"Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach","display_name":"Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4295767289","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882755"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882755","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":"2022 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/A5029562271","display_name":"Caro Fuchs","orcid":"https://orcid.org/0000-0002-4815-0310"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Caro Fuchs","raw_affiliation_strings":["Eindhoven University of Technology,Jheronimus Academy of Data Science,’s-Hertogenbosch,The Netherlands","Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Jheronimus Academy of Data Science,’s-Hertogenbosch,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080242338","display_name":"Uzay Kaymak","orcid":"https://orcid.org/0000-0002-4500-9098"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Uzay Kaymak","raw_affiliation_strings":["Eindhoven University of Technology,Jheronimus Academy of Data Science,’s-Hertogenbosch,The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Jheronimus Academy of Data Science,’s-Hertogenbosch,The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043650939","display_name":"Marco S. Nobile","orcid":"https://orcid.org/0000-0002-7692-7203"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]},{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["IT","NL"],"is_corresponding":false,"raw_author_name":"Marco S. Nobile","raw_affiliation_strings":["Ca’ Foscari University of Venice,Informatics and Statistics,of Environmental Sciences,Italy","Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, The Netherlands","Bicocca Bioinformatics, Biostatistics and Bioimaging (B4), Interdisciplinary Research Center, Milan, Italy"],"affiliations":[{"raw_affiliation_string":"Ca’ Foscari University of Venice,Informatics and Statistics,of Environmental Sciences,Italy","institution_ids":["https://openalex.org/I149461666"]},{"raw_affiliation_string":"Department of Industrial Engineering & Innovation Sciences, Eindhoven University of Technology, The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Bicocca Bioinformatics, Biostatistics and Bioimaging (B4), Interdisciplinary Research Center, Milan, Italy","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029562271"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.6289,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.67839729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9994000196456909,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9994000196456909,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9962999820709229,"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/interpretability","display_name":"Interpretability","score":0.840942919254303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7336494326591492},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.695636510848999},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6757411956787109},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6173822283744812},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5677269101142883},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5497966408729553},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.538671612739563},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5274415612220764},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.5082283020019531},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5047725439071655},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4905368685722351},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4634286165237427},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46187615394592285},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.43547195196151733},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.4315549433231354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11539196968078613}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.840942919254303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336494326591492},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.695636510848999},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6757411956787109},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6173822283744812},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5677269101142883},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5497966408729553},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.538671612739563},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5274415612220764},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5082283020019531},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5047725439071655},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4905368685722351},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4634286165237427},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46187615394592285},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.43547195196151733},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.4315549433231354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11539196968078613},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882755","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882755","pdf_url":null,"source":{"id":"https://openalex.org/S4363608205","display_name":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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":"2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/13fb687c-2afc-4325-9ca9-a90ed4b5cac8","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/13fb687c-2afc-4325-9ca9-a90ed4b5cac8","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fuchs, C, Kaymak, U & Nobile, M S 2022, Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach. in 2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022 - Proceedings., 9882755, Institute of Electrical and Electronics Engineers, 2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022, Padua, Italy, 18/07/22. https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882755","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:pure.tue.nl:publications/13fb687c-2afc-4325-9ca9-a90ed4b5cac8","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=85137927522&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fuchs, C, Kaymak, U & Nobile, M S 2022, Building Interpretable and Parsimonious Fuzzy Models using a Multi-Objective Approach. in 2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022 - Proceedings., 9882755, Institute of Electrical and Electronics Engineers, 2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022, Padua, Italy, 18/07/22. https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882755","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/13fb687c-2afc-4325-9ca9-a90ed4b5cac8","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/13fb687c-2afc-4325-9ca9-a90ed4b5cac8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2022 IEEE International Conference on Fuzzy Systems, FUZZ 2022 - Proceedings","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W225560312","https://openalex.org/W1197622812","https://openalex.org/W1570834090","https://openalex.org/W1580160831","https://openalex.org/W1625941627","https://openalex.org/W1863635272","https://openalex.org/W1977904727","https://openalex.org/W2000353609","https://openalex.org/W2003322225","https://openalex.org/W2018401509","https://openalex.org/W2029469881","https://openalex.org/W2052586313","https://openalex.org/W2061933243","https://openalex.org/W2079325629","https://openalex.org/W2106770680","https://openalex.org/W2119893066","https://openalex.org/W2126105956","https://openalex.org/W2136589898","https://openalex.org/W2140384587","https://openalex.org/W2150593711","https://openalex.org/W2162495398","https://openalex.org/W2175677697","https://openalex.org/W2228502273","https://openalex.org/W2485728689","https://openalex.org/W2504658994","https://openalex.org/W2751846886","https://openalex.org/W2791095958","https://openalex.org/W2804056312","https://openalex.org/W2851992899","https://openalex.org/W2896497501","https://openalex.org/W2909962776","https://openalex.org/W2910328857","https://openalex.org/W2979406407","https://openalex.org/W2998216295","https://openalex.org/W3008018194","https://openalex.org/W3033432535","https://openalex.org/W3039848812","https://openalex.org/W3081756357","https://openalex.org/W3094003808","https://openalex.org/W3120740533","https://openalex.org/W4205687621","https://openalex.org/W4211172011","https://openalex.org/W4234836739","https://openalex.org/W6634600092","https://openalex.org/W6636588491","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4385957992","https://openalex.org/W4229079080","https://openalex.org/W4206534706","https://openalex.org/W4385965371","https://openalex.org/W4386025632","https://openalex.org/W3043787172","https://openalex.org/W2984803561","https://openalex.org/W3163334550","https://openalex.org/W3025689783","https://openalex.org/W4386490041"],"abstract_inverted_index":{"Nowadays,":[0],"the":[1,8,22,29,57,77,82,85,90,99,109,124,150,175],"growing":[2],"amounts":[3],"of":[4,10,56,59,79,92,111,177],"collected":[5],"data":[6,23,37,183],"enable":[7,46],"training":[9],"machine":[11],"learning":[12],"models":[13,31,126,151],"that":[14,32],"can":[15,33,67],"be":[16,34,68],"used":[17],"to":[18,114,166],"extract":[19],"insights":[20],"from":[21,36,108],"and":[24,45,74,89,96,117,136,158],"make":[25],"better-informed":[26],"decisions.":[27],"Among":[28],"possible":[30],"learned":[35],"are":[38,43,133],"fuzzy":[39,171],"rule-based":[40],"models,":[41],"which":[42,66,147],"transparent":[44],"\u2013":[47,51],"when":[48],"properly":[49],"designed":[50],"interpretable":[52,135],"artificial":[53],"intelligence.":[54],"One":[55],"requirements":[58],"interpretability":[60],"is":[61],"a":[62,143],"simple":[63],"model":[64,159],"structure,":[65],"achieved":[69],"by":[70,75],"performing":[71],"feature":[72,87,116],"selection":[73,120],"limiting":[76],"number":[78,91,119],"rules":[80,93],"in":[81,146],"model.":[83],"However,":[84],"chosen":[86],"set":[88],"may":[94],"interact":[95],"strongly":[97],"affect":[98],"model\u2019s":[100],"accuracy.":[101],"In":[102,161],"this":[103,162],"study,":[104],"we":[105,141,148,164],"employ":[106],"techniques":[107],"field":[110],"evolutionary":[112],"computation":[113],"perform":[115,130],"rule":[118],"simultaneously.":[121],"To":[122],"ensure":[123],"developed":[125],"do":[127],"not":[128],"only":[129],"well":[131],"but":[132],"also":[134],"have":[137],"good":[138],"generalization":[139],"capabilities,":[140],"adopt":[142],"multi-objective":[144],"approach":[145,179],"train":[149],"focusing":[152],"on":[153,180],"three":[154,181],"objectives:":[155],"performance,":[156],"complexity,":[157],"stability.":[160],"way,":[163],"strive":[165],"develop":[167],"simple,":[168],"well-performing":[169],"parsimonious":[170],"models.":[172],"We":[173],"show":[174],"effectiveness":[176],"our":[178],"benchmark":[182],"sets.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}