{"id":"https://openalex.org/W4295767558","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882658","title":"Evaluating Region Inference Methods by Using Fuzzy Spatial Inference Models","display_name":"Evaluating Region Inference Methods by Using Fuzzy Spatial Inference Models","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W4295767558","doi":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882658"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee55066.2022.9882658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882658","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/A5067908573","display_name":"Anderson Chaves Carniel","orcid":"https://orcid.org/0000-0002-8297-9894"},"institutions":[{"id":"https://openalex.org/I177909021","display_name":"Universidade Federal de S\u00e3o Carlos","ror":"https://ror.org/00qdc6m37","country_code":"BR","type":"education","lineage":["https://openalex.org/I177909021"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Anderson Chaves Carniel","raw_affiliation_strings":["Federal University of São Carlos,Department of Computer Science,SP,Brazil,13565-905"],"affiliations":[{"raw_affiliation_string":"Federal University of São Carlos,Department of Computer Science,SP,Brazil,13565-905","institution_ids":["https://openalex.org/I177909021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062284656","display_name":"Felippe Galdino","orcid":"https://orcid.org/0000-0003-2594-9733"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Felippe Galdino","raw_affiliation_strings":["Federal University of Rio de Janeiro,Department of Meteorology,Rio de Janeiro, RJ,Brazil,21941-901"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio de Janeiro,Department of Meteorology,Rio de Janeiro, RJ,Brazil,21941-901","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101819568","display_name":"Markus Schneider","orcid":"https://orcid.org/0000-0003-0543-2593"},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Markus Schneider","raw_affiliation_strings":["University of Florida,Department of Computer & Information Science & Engineering,Gainesville,FL,USA,32611"],"affiliations":[{"raw_affiliation_string":"University of Florida,Department of Computer & Information Science & Engineering,Gainesville,FL,USA,32611","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067908573"],"corresponding_institution_ids":["https://openalex.org/I177909021"],"apc_list":null,"apc_paid":null,"fwci":0.2452,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38578199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"10","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7674200534820557},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.682459831237793},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.6370975971221924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6335059404373169},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5531519651412964},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5134295225143433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48188334703445435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3916229009628296},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.23360273241996765},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19978982210159302},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08879250288009644}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7674200534820557},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.682459831237793},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.6370975971221924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6335059404373169},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5531519651412964},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5134295225143433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48188334703445435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3916229009628296},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.23360273241996765},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19978982210159302},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08879250288009644}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee55066.2022.9882658","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee55066.2022.9882658","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2022637272","https://openalex.org/W2041280856","https://openalex.org/W2046371404","https://openalex.org/W2062280802","https://openalex.org/W2543580944","https://openalex.org/W2748498889","https://openalex.org/W2897409805","https://openalex.org/W2980916598","https://openalex.org/W3113793411","https://openalex.org/W3138059096","https://openalex.org/W3190434570","https://openalex.org/W3213705083","https://openalex.org/W4211007335","https://openalex.org/W4239194948","https://openalex.org/W6791996495","https://openalex.org/W6875978146"],"related_works":["https://openalex.org/W2114654021","https://openalex.org/W2263529430","https://openalex.org/W2389800468","https://openalex.org/W4390103748","https://openalex.org/W2763641192","https://openalex.org/W2150377753","https://openalex.org/W2392430664","https://openalex.org/W3162202563","https://openalex.org/W2377425550","https://openalex.org/W3006331445"],"abstract_inverted_index":{"Increasingly,":[0],"geoscientists":[1],"and":[2,11,25,59,106,130,147],"spatial":[3,13,20,31,36,51,64,83,138,151],"data":[4,56,65],"scientists":[5],"have":[6],"shown":[7],"interest":[8],"in":[9,136,149],"modeling":[10],"analyzing":[12],"phenomena":[14],"characterized":[15],"by":[16],"the":[17,42,116,119],"feature":[18],"of":[19,44,75],"fuzziness.":[21],"Applying":[22],"fuzzy":[23,26,30,35,50,87,137],"logic":[24],"inference":[27,37,76,88,134,139],"methods":[28,135],"to":[29,34,55,93],"objects":[32],"leads":[33],"models.":[38,140],"These":[39],"models":[40],"pursue":[41],"goal":[43,62],"discovering":[45],"new":[46],"meaningful":[47],"findings":[48],"from":[49],"data,":[52],"hence":[53],"contributing":[54],"knowledge":[57],"discovery":[58],"sharing":[60],"this":[61,68],"with":[63,86,118],"science.":[66],"In":[67,141],"paper,":[69],"we":[70,127,143],"introduce":[71],"a":[72,99,103],"novel":[73],"type":[74],"method":[77],"called":[78],"region":[79],"inference;":[80],"it":[81],"combines":[82],"query":[84,104,132],"processing":[85],"methods.":[89],"The":[90],"objective":[91],"is":[92],"capture":[94],"all":[95],"points":[96,117],"that":[97],"intersect":[98],"search":[100],"object":[101],"(e.g.,":[102,115],"window)":[105],"whose":[107],"output":[108],"values":[109],"fulfill":[110],"some":[111],"specific":[112],"user":[113],"requirements":[114],"maximum":[120],"or":[121],"minimum":[122],"inferred":[123],"values).":[124],"For":[125],"this,":[126],"propose,":[128],"evaluate,":[129],"compare":[131],"window":[133],"addition,":[142],"show":[144],"their":[145],"characterization":[146],"applicability":[148],"real":[150],"applications.":[152]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}