{"id":"https://openalex.org/W2971803087","doi":"https://doi.org/10.1109/tfuzz.2019.2939957","title":"CoEvil: A Coevolutionary Model for Crime Inference Based on Fuzzy Rough Feature Selection","display_name":"CoEvil: A Coevolutionary Model for Crime Inference Based on Fuzzy Rough Feature Selection","publication_year":2019,"publication_date":"2019-09-06","ids":{"openalex":"https://openalex.org/W2971803087","doi":"https://doi.org/10.1109/tfuzz.2019.2939957","mag":"2971803087"},"language":"en","primary_location":{"id":"doi:10.1109/tfuzz.2019.2939957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2939957","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/A5101957637","display_name":"Xiaoming Liu","orcid":"https://orcid.org/0000-0003-0901-6028"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Liu","raw_affiliation_strings":["Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China","[Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China]"],"raw_orcid":"https://orcid.org/0000-0003-0901-6028","affiliations":[{"raw_affiliation_string":"Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"[Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China]","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101843177","display_name":"Chao Shen","orcid":"https://orcid.org/0000-0002-6959-0569"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Shen","raw_affiliation_strings":["Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China","[Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China]"],"raw_orcid":"https://orcid.org/0000-0002-6959-0569","affiliations":[{"raw_affiliation_string":"Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"[Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China]","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100777576","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-5974-1589"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Department of Information Security, Beijing Jiaotong University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5974-1589","affiliations":[{"raw_affiliation_string":"Department of Information Security, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075845093","display_name":"Xiaohong Guan","orcid":"https://orcid.org/0000-0002-8826-0362"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohong Guan","raw_affiliation_strings":["Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China","[Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"[Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi'an Jiaotong University, Xi'an, China]","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.794,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.77034496,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"28","issue":"5","first_page":"806","last_page":"817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9857000112533569,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13282","display_name":"Automated Road and Building Extraction","score":0.9557999968528748,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9520999789237976,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.6755432486534119},{"id":"https://openalex.org/keywords/vagueness","display_name":"Vagueness","score":0.6750096082687378},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6586649417877197},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5360610485076904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5277774333953857},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.49012717604637146},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48501893877983093},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4609530568122864},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.4476897418498993},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4407600164413452},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.320667564868927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755432486534119},{"id":"https://openalex.org/C2776825360","wikidata":"https://www.wikidata.org/wiki/Q1411921","display_name":"Vagueness","level":3,"score":0.6750096082687378},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6586649417877197},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5360610485076904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5277774333953857},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.49012717604637146},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48501893877983093},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4609530568122864},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4476897418498993},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4407600164413452},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.320667564868927},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2019.2939957","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2019.2939957","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":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G1067324075","display_name":null,"funder_award_id":"U1736205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1886283810","display_name":null,"funder_award_id":"xxj022019016","funder_id":"https://openalex.org/F4320321169","funder_display_name":"Xi\u2019an Jiaotong University"},{"id":"https://openalex.org/G4022628527","display_name":null,"funder_award_id":"61902308","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4842950919","display_name":null,"funder_award_id":"61773310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4938631274","display_name":null,"funder_award_id":"U1766215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4974292152","display_name":null,"funder_award_id":"61822309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7536019943","display_name":null,"funder_award_id":"xtr022019002","funder_id":"https://openalex.org/F4320321169","funder_display_name":"Xi\u2019an Jiaotong University"},{"id":"https://openalex.org/G8781314009","display_name":null,"funder_award_id":"BX20190275","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321169","display_name":"Xi\u2019an Jiaotong University","ror":"https://ror.org/017zhmm22"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1810406100","https://openalex.org/W1917966882","https://openalex.org/W1976094288","https://openalex.org/W2075843680","https://openalex.org/W2086364952","https://openalex.org/W2088047416","https://openalex.org/W2112543966","https://openalex.org/W2119876047","https://openalex.org/W2128771953","https://openalex.org/W2151257102","https://openalex.org/W2154887800","https://openalex.org/W2158633287","https://openalex.org/W2159371584","https://openalex.org/W2160307100","https://openalex.org/W2167417833","https://openalex.org/W2168523997","https://openalex.org/W2293549361","https://openalex.org/W2416404380","https://openalex.org/W2511098035","https://openalex.org/W2514525802","https://openalex.org/W2543921535","https://openalex.org/W2548381605","https://openalex.org/W2560551712","https://openalex.org/W2568086521","https://openalex.org/W2732347010","https://openalex.org/W2743025534","https://openalex.org/W2745490769","https://openalex.org/W2759843336","https://openalex.org/W2766239046","https://openalex.org/W2779342116","https://openalex.org/W2801065096","https://openalex.org/W2808409711","https://openalex.org/W2857279780","https://openalex.org/W2906458786","https://openalex.org/W2963919031","https://openalex.org/W2964121744","https://openalex.org/W2964135075","https://openalex.org/W3098447328","https://openalex.org/W3101926230","https://openalex.org/W4249855545","https://openalex.org/W4301253858","https://openalex.org/W6631190155","https://openalex.org/W6640127846","https://openalex.org/W6672841446","https://openalex.org/W6729264941"],"related_works":["https://openalex.org/W4293525103","https://openalex.org/W2374344280","https://openalex.org/W2345184372","https://openalex.org/W3200179079","https://openalex.org/W2546942002","https://openalex.org/W3163334550","https://openalex.org/W2970216048","https://openalex.org/W2316780152","https://openalex.org/W2385233088","https://openalex.org/W2382607599"],"abstract_inverted_index":{"Millions":[0],"of":[1,18,54,89,118,138,149,164,181],"crimes":[2,64,101,120],"arise":[3],"each":[4],"year,":[5],"which":[6,160],"threatens":[7],"public":[8],"safety":[9],"and":[10,37,65,67,75,87,102,104,115,121,146,151,157,171,191],"harms":[11],"the":[12,35,59,70,78,85,96,100,113,119,134,142,147,154,162,165],"victims.":[13],"Precise":[14],"crime":[15,143,155],"inference":[16,145],"is":[17],"great":[19],"significance":[20],"in":[21,39,77,141,153],"preventing":[22],"crimes.":[23,40],"The":[24],"sharply":[25],"increasing":[26],"large-scale":[27],"heterogeneous":[28,79],"data":[29],"provide":[30],"a":[31,91,106],"chance":[32],"to":[33,94,111,186],"reveal":[34],"patterns":[36],"trends":[38],"Several":[41],"approaches":[42],"employing":[43],"feature-based":[44],"regression":[45],"or":[46],"spatiotemporal":[47],"distribution":[48],"fitting":[49],"are":[50,184],"proposed":[51],"but":[52],"lack":[53],"some":[55],"considerations:":[56],"1)":[57],"ignore":[58],"dynamic":[60],"mutual":[61],"influences":[62],"among":[63,99],"locations;":[66],"2)":[68],"overlook":[69],"large":[71],"scale,":[72],"incompleteness,":[73],"uncertainty,":[74],"vagueness":[76],"data.":[80],"This":[81],"article":[82],"comprehensively":[83],"investigates":[84],"reliability":[86],"applicability":[88],"proposing":[90],"coevolutionary":[92],"model":[93,183],"formulate":[95],"interaction":[97],"pattern":[98],"locations":[103,122],"develops":[105],"fuzzy-rough-set-based":[107],"feature":[108],"selection":[109],"method":[110],"discover":[112],"distinctiveness":[114],"permanence":[116],"properties":[117],"with":[123],"different":[124,178],"latent":[125],"features.":[126],"Extensive":[127],"experiments":[128,176],"show":[129],"that":[130],"our":[131,182],"algorithm":[132],"achieves":[133],"mean":[135],"absolute":[136],"error":[137],"1.529":[139],"(hour)":[140],"time":[144],"accuracy":[148],"0.653":[150],"0.633":[152],"type":[156],"location":[158],"inference,":[159],"surpass":[161],"state":[163],"arts":[166],"more":[167],"than":[168],"6.5,":[169],"1.9,":[170],"1.8":[172],"times,":[173],"respectively.":[174],"Additional":[175],"on":[177],"parameter":[179],"settings":[180],"provided":[185],"further":[187],"explore":[188],"its":[189],"effectiveness":[190],"scalability.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}