{"id":"https://openalex.org/W2135096989","doi":"https://doi.org/10.1080/13658810050024287","title":"Querying probabilistic land cover data using fuzzy set theory","display_name":"Querying probabilistic land cover data using fuzzy set theory","publication_year":2000,"publication_date":"2000-06-01","ids":{"openalex":"https://openalex.org/W2135096989","doi":"https://doi.org/10.1080/13658810050024287","mag":"2135096989"},"language":"en","primary_location":{"id":"doi:10.1080/13658810050024287","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658810050024287","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","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/A5010984691","display_name":"Sytze de Bruin","orcid":"https://orcid.org/0000-0002-6884-2832"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. De Bruin","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5010984691"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":20.6229,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.98997666,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"14","issue":"4","first_page":"359","last_page":"372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9941999912261963,"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"}},"topics":[{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9941999912261963,"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"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9911999702453613,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6655829548835754},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.6519110202789307},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5210389494895935},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.4942805767059326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4836662709712982},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4762984812259674},{"id":"https://openalex.org/keywords/type-2-fuzzy-sets-and-systems","display_name":"Type-2 fuzzy sets and systems","score":0.4636377692222595},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.4476006031036377},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.4453234076499939},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.43910133838653564},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43314066529273987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42521291971206665},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42201143503189087}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6655829548835754},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.6519110202789307},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5210389494895935},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.4942805767059326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4836662709712982},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4762984812259674},{"id":"https://openalex.org/C17350324","wikidata":"https://www.wikidata.org/wiki/Q7860605","display_name":"Type-2 fuzzy sets and systems","level":5,"score":0.4636377692222595},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.4476006031036377},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.4453234076499939},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.43910133838653564},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43314066529273987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42521291971206665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42201143503189087},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/13658810050024287","is_oa":false,"landing_page_url":"https://doi.org/10.1080/13658810050024287","pdf_url":null,"source":{"id":"https://openalex.org/S4210181446","display_name":"International Journal of Geographical Information Systems","issn_l":"0269-3798","issn":["0269-3798","1362-3087"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Geographical Information Science","raw_type":"journal-article"},{"id":"pmh:wur:oai:library.wur.nl:wurpubs/64295","is_oa":false,"landing_page_url":"https://research.wur.nl/en/publications/querying-probabilistic-land-cover-data-using-fuzzy-set-theory","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Geographical Information Science, 14, 359 - 372","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W5961960","https://openalex.org/W181107242","https://openalex.org/W1516964807","https://openalex.org/W1521534991","https://openalex.org/W1536216389","https://openalex.org/W1571356903","https://openalex.org/W1571785228","https://openalex.org/W1579665134","https://openalex.org/W1599757363","https://openalex.org/W1972529049","https://openalex.org/W2000721734","https://openalex.org/W2002662972","https://openalex.org/W2012952813","https://openalex.org/W2025985854","https://openalex.org/W2029154834","https://openalex.org/W2029251415","https://openalex.org/W2036798369","https://openalex.org/W2038114087","https://openalex.org/W2038190934","https://openalex.org/W2050050052","https://openalex.org/W2063616871","https://openalex.org/W2071056132","https://openalex.org/W2072082768","https://openalex.org/W2083456508","https://openalex.org/W2131362741","https://openalex.org/W2133326483","https://openalex.org/W2138241734","https://openalex.org/W2338453380","https://openalex.org/W2474656265","https://openalex.org/W2797343967","https://openalex.org/W2912565176","https://openalex.org/W3171191334","https://openalex.org/W4205471131","https://openalex.org/W4211007335","https://openalex.org/W4253135090","https://openalex.org/W4255015604","https://openalex.org/W4298132223"],"related_works":["https://openalex.org/W2674573885","https://openalex.org/W2781808531","https://openalex.org/W2166637398","https://openalex.org/W1486684451","https://openalex.org/W1975005191","https://openalex.org/W4361273540","https://openalex.org/W2375182298","https://openalex.org/W2066929655","https://openalex.org/W1487720066","https://openalex.org/W4361984403"],"abstract_inverted_index":{"Abstract":[0],"Queries":[1],"expressed":[2],"in":[3,12,23,45,161],"verbal":[4],"language":[5],"often":[6],"involve":[7],"a":[8,85,95],"mixture":[9],"of":[10,15,26,56,64,84,94,119,132],"uncertainties":[11],"the":[13,24,46,54,82,92,113,129,143,147,154,159],"outcomes":[14],"events":[16],"that":[17],"are":[18],"governed":[19],"by":[20,165],"chance":[21],"and":[22,34,61,76,91,117,168],"meaning":[25],"linguistic":[27,86,133],"terms.":[28,134],"This":[29,157],"study":[30],"exemplifies":[31],"how":[32],"probability":[33,87,118,167],"fuzzy":[35,77,136,169],"sets":[36,78],"can":[37],"work":[38],"together":[39],"to":[40,111,126,149],"deal":[41,127],"with":[42,108,128],"such":[43],"queries":[44],"spatial":[47],"domain.":[48],"It":[49],"involves":[50],"site":[51],"selection":[52,155],"on":[53,81,99],"basis":[55,83],"accessibility":[57],"(travel":[58],"time)":[59],"estimates":[60],"per-pixel":[62],"probabilities":[63,75],"land":[65],"cover":[66],"change":[67],"derived":[68],"from":[69],"remotely":[70],"sensed":[71],"imagery.":[72],"Relationships":[73],"between":[74,115],"were":[79],"established":[80],"qualifier":[88],"(high":[89],"probability)":[90],"expectation":[93],"membership":[96],"function":[97],"defined":[98],"stochastic":[100],"travel":[101],"time.":[102],"Fuzzy":[103,121],"query":[104,137],"processing":[105,110],"was":[106],"compared":[107],"crisp":[109,144],"emphasise":[112],"difference":[114],"grade":[116],"membership.":[120],"set":[122],"theory":[123],"is":[124],"used":[125],"vague":[130],"meanings":[131],"The":[135],"response":[138],"contained":[139],"more":[140],"information":[141],"than":[142],"response,":[145],"namely":[146],"degree":[148],"which":[150],"individual":[151],"locations":[152],"matched":[153],"criteria.":[156],"illustrates":[158],"gain":[160],"expressive":[162],"power":[163],"provided":[164],"combining":[166],"sets.":[170]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
