{"id":"https://openalex.org/W2163211850","doi":"https://doi.org/10.1109/fuzzy.2004.1375372","title":"Fuzzy aggregation operators in region-based image retrieval","display_name":"Fuzzy aggregation operators in region-based image retrieval","publication_year":2005,"publication_date":"2005-02-22","ids":{"openalex":"https://openalex.org/W2163211850","doi":"https://doi.org/10.1109/fuzzy.2004.1375372","mag":"2163211850"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2004.1375372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","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/A5040818584","display_name":"Zoran Steji\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Z. Stejic","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010085896","display_name":"Yasufumi Takama","orcid":"https://orcid.org/0000-0003-3072-5785"},"institutions":[{"id":"https://openalex.org/I4210098918","display_name":"Tokyo Metropolitan Institute of Medical Science","ror":"https://ror.org/00vya8493","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210098918"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Y. Takama","raw_affiliation_strings":["Department of Electronic Systems Engineering, Tokyo Metropolitan Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Systems Engineering, Tokyo Metropolitan Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I4210098918"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066941401","display_name":"Kaoru Hirota","orcid":"https://orcid.org/0000-0001-5347-6182"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"K. Hirota","raw_affiliation_strings":["Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040818584"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2165224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"1379","last_page":"1384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998999834060669,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9677000045776367,"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/similarity","display_name":"Similarity (geometry)","score":0.7224281430244446},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.6603702306747437},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6523724794387817},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5908520221710205},{"id":"https://openalex.org/keywords/operator","display_name":"Operator (biology)","score":0.5848541259765625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5770415663719177},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5666380524635315},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4281565845012665},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4246803820133209},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4040682911872864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36231786012649536},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32461267709732056}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.7224281430244446},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.6603702306747437},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6523724794387817},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5908520221710205},{"id":"https://openalex.org/C17020691","wikidata":"https://www.wikidata.org/wiki/Q139677","display_name":"Operator (biology)","level":5,"score":0.5848541259765625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5770415663719177},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5666380524635315},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4281565845012665},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4246803820133209},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4040682911872864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36231786012649536},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32461267709732056},{"id":"https://openalex.org/C86339819","wikidata":"https://www.wikidata.org/wiki/Q407384","display_name":"Transcription factor","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C158448853","wikidata":"https://www.wikidata.org/wiki/Q425218","display_name":"Repressor","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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":2,"locations":[{"id":"doi:10.1109/fuzzy.2004.1375372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2004.1375372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542)","raw_type":"proceedings-article"},{"id":"pmh:oai:t2r2.star.titech.ac.jp:00106513","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100501139","pdf_url":null,"source":{"id":"https://openalex.org/S4377196385","display_name":"Tokyo Tech Research Repository (Tokyo Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114531698","host_organization_name":"Tokyo Institute of Technology","host_organization_lineage":["https://openalex.org/I114531698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1484098258","https://openalex.org/W1517775761","https://openalex.org/W1518654656","https://openalex.org/W1519979735","https://openalex.org/W1582673523","https://openalex.org/W1589709336","https://openalex.org/W1602683588","https://openalex.org/W1898259180","https://openalex.org/W1963611737","https://openalex.org/W1969294188","https://openalex.org/W1974549579","https://openalex.org/W1996991494","https://openalex.org/W2002414696","https://openalex.org/W2014214819","https://openalex.org/W2017441516","https://openalex.org/W2023946257","https://openalex.org/W2048288497","https://openalex.org/W2072933345","https://openalex.org/W2107617512","https://openalex.org/W2109868644","https://openalex.org/W2130030409","https://openalex.org/W2130660124","https://openalex.org/W2131736752","https://openalex.org/W2162362064","https://openalex.org/W2296349981","https://openalex.org/W2336717114","https://openalex.org/W4205471131","https://openalex.org/W4386909651","https://openalex.org/W6631127489","https://openalex.org/W6857182001"],"related_works":["https://openalex.org/W2375480909","https://openalex.org/W2353314428","https://openalex.org/W2012019886","https://openalex.org/W2166090428","https://openalex.org/W2381021552","https://openalex.org/W3147584709","https://openalex.org/W2354749003","https://openalex.org/W2377121353","https://openalex.org/W2350529538","https://openalex.org/W2977677679"],"abstract_inverted_index":{"We":[0,66],"examine":[1],"the":[2,5,10,21,25,35,41,47,63,68,84,101,108,126,132,136,140,143,148,151,155],"effect":[3],"of":[4,23,31,34,40,53,62,90,100,154],"fuzzy":[6],"aggregation":[7,52,89,99],"operators":[8,70,157],"on":[9,111,131],"image":[11,26,36,43,48,85],"retrieval":[12,127,145],"performance,":[13],"by":[14],"empirically":[15],"comparing":[16],"67":[17,69,156],"operators,":[18],"applied":[19],"to":[20,160],"problem":[22],"computing":[24],"similarity,":[27],"given":[28],"a":[29,59,77],"collection":[30],"feature":[32,54,103],"similarities":[33],"regions.":[37],"While":[38],"majority":[39],"existing":[42],"similarity":[44,49,80,86,96,137],"models":[45],"express":[46],"as":[50,87,97],"an":[51,88,98],"similarities,":[55,92],"no":[56],"study":[57],"presents":[58],"systematic":[60],"comparison":[61],"different":[64],"operators.":[65],"compare":[67],"by:":[71],"(1)":[72],"incorporating":[73],"each":[74,94],"operator":[75],"into":[76],"hierarchical,":[78],"region-based":[79],"model,":[81],"which":[82],"expresses":[83],"region":[91,95],"and":[93,105,150],"corresponding":[102],"similarities;":[104],"(2)":[106],"evaluating":[107],"obtained":[109],"model(s)":[110],"five":[112],"test":[113],"databases,":[114],"containing":[115],"64,339":[116],"general-purpose":[117],"images,":[118],"in":[119,135,142],"749":[120],"semantic":[121],"categories.":[122],"Results":[123],"show":[124],"that":[125],"performance":[128],"strongly":[129],"depends":[130],"operator(s)":[133],"incorporated":[134],"model":[138],"-":[139],"difference":[141],"average":[144],"precision":[146],"between":[147],"best":[149],"worst":[152],"performing":[153],"is":[158],"up":[159],"50%.":[161]},"counts_by_year":[],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}