{"id":"https://openalex.org/W2076629446","doi":"https://doi.org/10.1142/s0219622003000744","title":"Predicting Job Performance with a Fuzzy Rule-Based System","display_name":"Predicting Job Performance with a Fuzzy Rule-Based System","publication_year":2003,"publication_date":"2003-08-27","ids":{"openalex":"https://openalex.org/W2076629446","doi":"https://doi.org/10.1142/s0219622003000744","mag":"2076629446"},"language":"en","primary_location":{"id":"doi:10.1142/s0219622003000744","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622003000744","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology & Decision Making","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/A5035714122","display_name":"J. Philip Craiger","orcid":null},"institutions":[{"id":"https://openalex.org/I122266389","display_name":"University of Nebraska at Omaha","ror":"https://ror.org/04yrkc140","country_code":"US","type":"education","lineage":["https://openalex.org/I122266389"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. Philip Craiger","raw_affiliation_strings":["Department of Computer Science & Nebraska University Consortium For Information Assurance, University of Nebraska at Omaha, Omaha, NE 68182-0392, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science & Nebraska University Consortium For Information Assurance, University of Nebraska at Omaha, Omaha, NE 68182-0392, USA","institution_ids":["https://openalex.org/I122266389"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078718861","display_name":"Michael D. Coovert","orcid":"https://orcid.org/0000-0003-3515-6753"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael D. Coovert","raw_affiliation_strings":["Department of Psychology & Institute for Human Performance, Decision Making, & Cybernetics University of South Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology & Institute for Human Performance, Decision Making, & Cybernetics University of South Florida, USA","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059794554","display_name":"Mark S. Teachout","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark S. Teachout","raw_affiliation_strings":["Armstrong Laboratory, Brooks Air Force Base, TX 78235-5000, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Armstrong Laboratory, Brooks Air Force Base, TX 78235-5000, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9377,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.8129883,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"02","issue":"03","first_page":"425","last_page":"444"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9878000020980835,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9878000020980835,"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":0.960099995136261,"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/T11079","display_name":"Creativity in Education and Neuroscience","score":0.9340000152587891,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6579675674438477},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5685725212097168},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5575874447822571},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5229754447937012},{"id":"https://openalex.org/keywords/job-performance","display_name":"Job performance","score":0.49889063835144043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4807743430137634},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.45731186866760254},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.4407045543193817},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.42051127552986145},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40261346101760864},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.2738134562969208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2237059772014618},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15789276361465454},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13092604279518127},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11464667320251465},{"id":"https://openalex.org/keywords/job-satisfaction","display_name":"Job satisfaction","score":0.07442763447761536}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6579675674438477},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5685725212097168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5575874447822571},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5229754447937012},{"id":"https://openalex.org/C174954385","wikidata":"https://www.wikidata.org/wiki/Q6206740","display_name":"Job performance","level":3,"score":0.49889063835144043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4807743430137634},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.45731186866760254},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.4407045543193817},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.42051127552986145},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40261346101760864},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.2738134562969208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2237059772014618},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15789276361465454},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13092604279518127},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11464667320251465},{"id":"https://openalex.org/C2718322","wikidata":"https://www.wikidata.org/wiki/Q629463","display_name":"Job satisfaction","level":2,"score":0.07442763447761536},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1142/s0219622003000744","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219622003000744","pdf_url":null,"source":{"id":"https://openalex.org/S207089700","display_name":"International Journal of Information Technology & Decision Making","issn_l":"0219-6220","issn":["0219-6220","1793-6845"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information Technology & Decision Making","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:wsi:ijitdm:v:02:y:2003:i:03:n:s0219622003000744","is_oa":false,"landing_page_url":"http://www.worldscientific.com/doi/abs/10.1142/S0219622003000744","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.699999988079071}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332467","display_name":"U.S. Air Force","ror":"https://ror.org/006gmme17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W299399118","https://openalex.org/W1501162218","https://openalex.org/W1598133101","https://openalex.org/W1607789910","https://openalex.org/W1898259180","https://openalex.org/W2012611887","https://openalex.org/W2024509488","https://openalex.org/W2034358412","https://openalex.org/W2063032527","https://openalex.org/W2142183404","https://openalex.org/W2166280719","https://openalex.org/W2166843422","https://openalex.org/W3023540311","https://openalex.org/W3207342693","https://openalex.org/W4211007335","https://openalex.org/W4300402905"],"related_works":["https://openalex.org/W1492794944","https://openalex.org/W169603398","https://openalex.org/W1965669125","https://openalex.org/W1972035260","https://openalex.org/W2913274341","https://openalex.org/W2049033869","https://openalex.org/W4375958012","https://openalex.org/W2910844563","https://openalex.org/W2059672880","https://openalex.org/W2351504167"],"abstract_inverted_index":{"Classification":[0],"problems":[1],"affect":[2],"all":[3],"organizations.":[4],"Important":[5],"decisions":[6],"affecting":[7],"an":[8,46,67],"organization's":[9,47],"effectiveness":[10],"include":[11],"predicting":[12],"the":[13,19,43,137,148,152,160,164,173],"success":[14],"of":[15,23,28,45,51,94,96,105,114,136,159,177],"job":[16,97,100,107,115,122],"applicants":[17,29],"and":[18,21,62,83,85,99,132,170,172,175,183],"matching":[20],"assignment":[22],"individuals":[24],"from":[25],"a":[26,71,76,127],"pool":[27],"to":[30,41,88,111,181],"available":[31],"positions.":[32],"In":[33],"these":[34,179],"situations,":[35],"linear":[36,52],"mathematical":[37],"models":[38],"are":[39,64],"employed":[40],"optimize":[42],"allocation":[44],"human":[48],"resources.":[49],"Use":[50],"techniques":[53],"may":[54],"be":[55],"problematic,":[56],"however,":[57],"when":[58],"relationships":[59,167],"between":[60,130,168],"predictor":[61],"criterion":[63],"nonlinear.":[65],"As":[66],"alternative,":[68],"we":[69],"developed":[70],"fuzzy":[72,81],"associative":[73],"memory":[74],"(FAM:":[75],"rule-based":[77],"system":[78],"based":[79],"on":[80],"sets":[82],"logic)":[84],"used":[86,110],"it":[87],"derive":[89],"predictive":[90],"(classification)":[91],"equations":[92],"composed":[93],"measures":[95,113],"experience":[98,108,131,169],"performance.":[101],"The":[102,124,141],"data":[103,139],"consisted":[104],"two":[106,149,158],"factors":[109],"predict":[112],"performance":[116,133],"for":[117,134,147,157],"four":[118,138],"US":[119],"Air":[120],"Force":[121],"families.":[123],"results":[125],"indicated":[126],"nonlinear":[128,166],"relationship":[129],"three":[135],"sets.":[140],"overall":[142],"classification":[143,156],"accuracy":[144],"was":[145],"similar":[146],"systems,":[150],"although":[151],"FAM":[153],"provided":[154],"better":[155],"jobs.":[161],"We":[162],"discuss":[163],"apparent":[165],"performance,":[171],"advantages":[174],"implications":[176],"using":[178],"systems":[180],"develop":[182],"describe":[184],"behavioral":[185],"models.":[186]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}