{"id":"https://openalex.org/W2019180895","doi":"https://doi.org/10.1145/1363686.1364102","title":"General type-2 fuzzy classifiers to land cover classification","display_name":"General type-2 fuzzy classifiers to land cover classification","publication_year":2008,"publication_date":"2008-03-16","ids":{"openalex":"https://openalex.org/W2019180895","doi":"https://doi.org/10.1145/1363686.1364102","mag":"2019180895"},"language":"en","primary_location":{"id":"doi:10.1145/1363686.1364102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1364102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5033811021","display_name":"Lu\u00eds A. Lucas","orcid":"https://orcid.org/0000-0002-2956-9909"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lu\u00eds A. Lucas","raw_affiliation_strings":["Federal University of Technology of Paran\u00c3 - UTFPR, Curitiba - PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00c3 - UTFPR, Curitiba - PR, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003159638","display_name":"T\u00e2nia Mezzadri Centeno","orcid":"https://orcid.org/0000-0002-6521-2042"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tania M. Centeno","raw_affiliation_strings":["Federal University of Technology of Paran\u00c3 - UTFPR, Curitiba - PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00c3 - UTFPR, Curitiba - PR, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056772812","display_name":"Myriam Delgado","orcid":"https://orcid.org/0000-0002-2791-174X"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Myriam R. Delgado","raw_affiliation_strings":["Federal University of Technology of Paran\u00c3 - UTFPR, Curitiba - PR, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00c3 - UTFPR, Curitiba - PR, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1283613182"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"1743","last_page":"1747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980999827384949,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9980999827384949,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9757999777793884,"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/T10320","display_name":"Neural Networks and Applications","score":0.9628000259399414,"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/classifier","display_name":"Classifier (UML)","score":0.6926352977752686},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.6351605653762817},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5951005816459656},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5811178684234619},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5790610313415527},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5692192316055298},{"id":"https://openalex.org/keywords/thematic-mapper","display_name":"Thematic Mapper","score":0.5605592727661133},{"id":"https://openalex.org/keywords/thematic-map","display_name":"Thematic map","score":0.5527889132499695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5103616118431091},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.49245914816856384},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.48516565561294556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44757962226867676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43049103021621704},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.26398128271102905},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.20338192582130432},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12888604402542114},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.11928695440292358},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.09005993604660034},{"id":"https://openalex.org/keywords/satellite-imagery","display_name":"Satellite imagery","score":0.08177486062049866}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6926352977752686},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.6351605653762817},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5951005816459656},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5811178684234619},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5790610313415527},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5692192316055298},{"id":"https://openalex.org/C2775938548","wikidata":"https://www.wikidata.org/wiki/Q1565182","display_name":"Thematic Mapper","level":3,"score":0.5605592727661133},{"id":"https://openalex.org/C93692415","wikidata":"https://www.wikidata.org/wiki/Q1502030","display_name":"Thematic map","level":2,"score":0.5527889132499695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5103616118431091},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.49245914816856384},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.48516565561294556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44757962226867676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43049103021621704},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.26398128271102905},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.20338192582130432},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12888604402542114},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.11928695440292358},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.09005993604660034},{"id":"https://openalex.org/C2778102629","wikidata":"https://www.wikidata.org/wiki/Q725252","display_name":"Satellite imagery","level":2,"score":0.08177486062049866},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1363686.1364102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1363686.1364102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2008 ACM symposium on Applied computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1480643874","https://openalex.org/W1492603963","https://openalex.org/W1622394303","https://openalex.org/W2020299137","https://openalex.org/W2035230519","https://openalex.org/W2041835507","https://openalex.org/W2054804336","https://openalex.org/W2105234323","https://openalex.org/W2108987129","https://openalex.org/W2111827911","https://openalex.org/W2126930230","https://openalex.org/W2132885717","https://openalex.org/W2137343229","https://openalex.org/W2144451432","https://openalex.org/W2166621107","https://openalex.org/W2170827628","https://openalex.org/W2591021812","https://openalex.org/W3017143921","https://openalex.org/W3146874882","https://openalex.org/W6776565550"],"related_works":["https://openalex.org/W2542782471","https://openalex.org/W793076704","https://openalex.org/W835875619","https://openalex.org/W578695671","https://openalex.org/W2055025919","https://openalex.org/W2365305234","https://openalex.org/W2049828390","https://openalex.org/W2546748626","https://openalex.org/W2132503437","https://openalex.org/W1532864123"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,39,47],"fuzzy":[4,9,81,98,113],"classifier":[5,19,72],"based":[6],"on":[7],"type-2":[8,80,112],"sets":[10,82],"to":[11,69],"be":[12],"applied":[13],"in":[14,95],"land":[15,44],"cover":[16,45],"classification.":[17],"The":[18,36,52,65,101],"is":[20],"built":[21],"from":[22,33],"the":[23,28,43,61,71,76,84,91,96,106,109],"available":[24],"data":[25,37],"and":[26,89],"considers":[27],"merging":[29],"of":[30,46,78,86,93,108],"information":[31],"acquired":[32],"different":[34,57],"experts.":[35],"regards":[38],"thematic":[40],"mapper":[41],"representing":[42],"real":[48],"plain":[49],"cultivated":[50],"area.":[51],"experts":[53],"are":[54],"represented":[55],"by":[56],"bands":[58],"which":[59],"discretize":[60],"spectral":[62],"sensor":[63],"information.":[64],"new":[66],"method":[67],"proposed":[68,110],"design":[70],"as":[73,75],"well":[74],"use":[77],"general":[79,111],"allows":[83],"modeling":[85],"input-output":[87],"relations":[88],"minimize":[90],"effects":[92],"uncertainties":[94],"usual":[97],"rule-based":[99],"classifiers.":[100],"experiments":[102],"carried":[103],"out":[104],"attest":[105],"efficiency":[107],"classifier.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
