{"id":"https://openalex.org/W2115998893","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891630","title":"Regularization-based learning of the Choquet integral","display_name":"Regularization-based learning of the Choquet integral","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2115998893","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891630","mag":"2115998893"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2014.6891630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 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/A5076164452","display_name":"Derek T. Anderson","orcid":"https://orcid.org/0000-0003-4909-029X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Derek T. Anderson","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA","Department of Electrical and Computer Engineering Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064304515","display_name":"Stanton R. Price","orcid":"https://orcid.org/0000-0003-2278-1015"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stanton R. Price","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Mississippi State University, USA","Department of Electrical and Computer Engineering Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060923133","display_name":"Timothy C. Havens","orcid":"https://orcid.org/0000-0002-5746-3749"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Timothy C. Havens","raw_affiliation_strings":["Departments of Electrical and Computer Engineering and Computer Science, Michigan Technological University, USA"],"affiliations":[{"raw_affiliation_string":"Departments of Electrical and Computer Engineering and Computer Science, Michigan Technological University, USA","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076164452"],"corresponding_institution_ids":["https://openalex.org/I99041443"],"apc_list":null,"apc_paid":null,"fwci":8.0031,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97419355,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2519","last_page":"2526"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9983999729156494,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9884999990463257,"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/overfitting","display_name":"Overfitting","score":0.6168427467346191},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5718628168106079},{"id":"https://openalex.org/keywords/choquet-integral","display_name":"Choquet integral","score":0.5580527782440186},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5577446222305298},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5524783730506897},{"id":"https://openalex.org/keywords/quadratic-programming","display_name":"Quadratic programming","score":0.5471096634864807},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5142342448234558},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4499649405479431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43441256880760193},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4314650893211365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39992034435272217},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36046046018600464},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.22875642776489258},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1473749577999115}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.6168427467346191},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5718628168106079},{"id":"https://openalex.org/C112799922","wikidata":"https://www.wikidata.org/wiki/Q5104911","display_name":"Choquet integral","level":3,"score":0.5580527782440186},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5577446222305298},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5524783730506897},{"id":"https://openalex.org/C81845259","wikidata":"https://www.wikidata.org/wiki/Q290117","display_name":"Quadratic programming","level":2,"score":0.5471096634864807},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5142342448234558},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4499649405479431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43441256880760193},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4314650893211365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39992034435272217},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36046046018600464},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.22875642776489258},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1473749577999115},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fuzz-ieee.2014.6891630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-29784","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/10482","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W32692342","https://openalex.org/W180225822","https://openalex.org/W657067832","https://openalex.org/W1484881229","https://openalex.org/W1545408805","https://openalex.org/W1592572926","https://openalex.org/W1680014149","https://openalex.org/W1984568490","https://openalex.org/W1992322795","https://openalex.org/W1998493708","https://openalex.org/W2024907050","https://openalex.org/W2046223100","https://openalex.org/W2062102668","https://openalex.org/W2074682976","https://openalex.org/W2087914634","https://openalex.org/W2101206561","https://openalex.org/W2102433694","https://openalex.org/W2102760656","https://openalex.org/W2108927591","https://openalex.org/W2123030579","https://openalex.org/W2135046866","https://openalex.org/W2140514146","https://openalex.org/W3043771091","https://openalex.org/W4247649469","https://openalex.org/W4299945223","https://openalex.org/W6601349806","https://openalex.org/W6607408821","https://openalex.org/W6629027770","https://openalex.org/W6635240910","https://openalex.org/W6637090357","https://openalex.org/W6844123675"],"related_works":["https://openalex.org/W4362597605","https://openalex.org/W1574414179","https://openalex.org/W4297676672","https://openalex.org/W2020990755","https://openalex.org/W3036464408","https://openalex.org/W2377851227","https://openalex.org/W4293088966","https://openalex.org/W2366868484","https://openalex.org/W2917463375","https://openalex.org/W2155219672"],"abstract_inverted_index":{"A":[0],"number":[1],"of":[2,40,43,65,105,154,168,171],"data-driven":[3],"fuzzy":[4,15],"measure":[5,127],"(FM)":[6],"learning":[7,66,82,128,167],"techniques":[8,67],"have":[9],"been":[10,50],"put":[11],"forth":[12],"for":[13,85,94,111,126],"the":[14,38,41,62,83,86,91,140,152,166],"integral":[16],"(FI).":[17],"Examples":[18],"include":[19],"quadratic":[20,112],"programming,":[21],"Gibbs":[22],"sampling,":[23],"gradient":[24],"descent,":[25],"reward":[26],"and":[27,29,54,73,100,107,129,135],"punishment":[28],"evolutionary":[30],"optimization.":[31,116],"However,":[32],"most":[33],"approaches":[34],"focus":[35],"solely":[36],"on":[37,52,102],"minimization":[39],"sum":[42],"squared":[44],"error":[45],"(SSE).":[46],"Limited":[47],"attention":[48],"has":[49,122],"placed":[51],"characterizing":[53],"subsequently":[55],"minimizing":[56],"model":[57],"(i.e.,":[58],"FM)":[59],"complexity.":[60],"Furthermore,":[61],"vast":[63],"majority":[64],"are":[68,133],"highly":[69],"susceptible":[70],"to":[71,81,139,150],"over-fitting":[72],"noise.":[74],"Herein,":[75],"we":[76,144,156],"explore":[77],"a":[78,123],"regularization":[79,121],"approach":[80],"FM":[84],"Choquet":[87],"FI.":[88],"We":[89,117],"investigate":[90],"mathematical":[92],"motivation":[93],"such":[95],"an":[96],"approach,":[97],"its":[98,108],"applicability":[99],"impact":[101],"different":[103],"types":[104],"FMs,":[106],"desirable":[109],"properties":[110],"programming":[113],"(QP)":[114],"based":[115],"show":[118,145],"that":[119,146],"L\\":[120],"distinct":[124],"meaning":[125],"aggregation":[130],"operators.":[131],"Experiments":[132],"performed":[134],"validated":[136],"with":[137],"respect":[138],"Shapley":[141],"index.":[142],"Specifically,":[143],"it":[147],"is":[148],"possible":[149],"reduce":[151],"effect":[153],"overfitting,":[155],"can":[157],"identify":[158],"higher":[159],"quality":[160],"measures":[161],"and,":[162],"if":[163],"desired,":[164],"force":[165],"fewer":[169],"numbers":[170],"sources.":[172]},"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},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":12},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}