{"id":"https://openalex.org/W2136099624","doi":"https://doi.org/10.1109/fuzz.2003.1206597","title":"A fuzzy logic CBIR system","display_name":"A fuzzy logic CBIR system","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W2136099624","doi":"https://doi.org/10.1109/fuzz.2003.1206597","mag":"2136099624"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1206597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","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/A5004144189","display_name":"Chih\u2010Yi Chiu","orcid":"https://orcid.org/0000-0002-2859-6120"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Yi Chiu","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101398557","display_name":"Hsin-Chih Lin","orcid":"https://orcid.org/0000-0001-8048-7522"},"institutions":[{"id":"https://openalex.org/I80327900","display_name":"Chang Jung Christian University","ror":"https://ror.org/02s3d7j94","country_code":"TW","type":"education","lineage":["https://openalex.org/I80327900"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Chih Lin","raw_affiliation_strings":["Department of Information Management, Chang Jung Christian University, Taiwan, Tainan"],"affiliations":[{"raw_affiliation_string":"Department of Information Management, Chang Jung Christian University, Taiwan, Tainan","institution_ids":["https://openalex.org/I80327900"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102054752","display_name":"Shi-Nine Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shi-Nine Yang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5004144189"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":1.0932,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.80114477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2","issue":null,"first_page":"1171","last_page":"1176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9958999752998352,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9678999781608582,"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":0.7461371421813965},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6427274942398071},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6100460886955261},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"Semantic gap","score":0.5659433603286743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4952670633792877},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4705415368080139},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4690302610397339},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44510504603385925},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.43799087405204773},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.4339179992675781},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3358860909938812},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22534465789794922}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461371421813965},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6427274942398071},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6100460886955261},{"id":"https://openalex.org/C86034646","wikidata":"https://www.wikidata.org/wiki/Q474311","display_name":"Semantic gap","level":4,"score":0.5659433603286743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4952670633792877},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4705415368080139},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4690302610397339},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44510504603385925},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.43799087405204773},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.4339179992675781},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3358860909938812},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22534465789794922},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2003.1206597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1956559956","https://openalex.org/W1988445395","https://openalex.org/W2008297189","https://openalex.org/W2018056115","https://openalex.org/W2020919487","https://openalex.org/W2022681695","https://openalex.org/W2066610120","https://openalex.org/W2082453965","https://openalex.org/W2091503252","https://openalex.org/W2101498401","https://openalex.org/W2134814621","https://openalex.org/W2144679084","https://openalex.org/W2160066518","https://openalex.org/W2162362064","https://openalex.org/W2162425384","https://openalex.org/W2166601749","https://openalex.org/W2325227998","https://openalex.org/W6640862754"],"related_works":["https://openalex.org/W2172231696","https://openalex.org/W2089969684","https://openalex.org/W2002918846","https://openalex.org/W2503910294","https://openalex.org/W2393699422","https://openalex.org/W2384506582","https://openalex.org/W2034539438","https://openalex.org/W2750434199","https://openalex.org/W2168037874","https://openalex.org/W2135728080"],"abstract_inverted_index":{"A":[0],"fuzzy":[1,43,48,57,164],"logic":[2],"framework":[3,24,160,190],"is":[4,119,141,191],"proposed":[5,23,189],"to":[6,98,125,150,178,194],"alleviate":[7,195],"two":[8,27],"problems":[9],"in":[10,135,146],"traditional":[11],"CBIR":[12,167,172],"systems,":[13],"including":[14,30],"the":[15,19,39,72,76,88,100,112,127,130,136,188,196,200],"semantic":[16,197],"gap":[17,198],"and":[18,34,71,81,90,108,132,144,158,180,199],"perception":[20,201],"subjectivity.":[21],"The":[22,60,138],"consists":[25],"of":[26,67,93,103],"major":[28],"parts,":[29],"(1)":[31],"model":[32,40],"construction":[33,41],"(2)":[35],"query":[36,95,101,113,131],"comparison.":[37],"In":[38,111],"part,":[42,115],"linguistic":[44,61],"terms":[45,62],"with":[46],"associated":[47],"membership":[49,73],"functions":[50,74],"are":[51],"automatically":[52],"generated":[53],"through":[54],"an":[55],"unsupervised":[56],"clustering":[58],"algorithm.":[59],"provide":[63],"a":[64,94,116,156,163],"nature":[65],"way":[66],"expressing":[68],"user's":[69,123,139],"concepts,":[70],"characterize":[75],"mapping":[77],"between":[78,129],"image":[79,134],"features":[80,177],"human":[82],"visual":[83,106],"concepts.":[84],"We":[85],"also":[86,142],"define":[87],"syntax":[89],"semantics":[91],"rules":[92],"description":[96],"language":[97],"unify":[99],"expression":[102],"textual":[104],"descriptions,":[105],"examples,":[107],"relevance":[109],"feedbacks.":[110],"comparison":[114],"similarity":[117,128],"function":[118],"inferred":[120],"based":[121],"on":[122],"feedbacks":[124],"measure":[126],"each":[133],"database.":[137],"preference":[140],"captured":[143],"retained":[145],"his/her":[147],"own":[148],"profile":[149],"achieve":[151],"personalization.":[152],"Our":[153],"work":[154],"provides":[155],"unified":[157],"comprehensive":[159],"for":[161],"incorporation":[162],"approach":[165],"into":[166],"systems.":[168],"To":[169],"verify":[170],"our":[171],"framework,":[173],"we":[174],"select":[175],"Tamura":[176],"describe":[179],"retrieve":[181],"texture":[182],"images.":[183],"Experimental":[184],"results":[185],"show":[186],"that":[187],"indeed":[192],"effective":[193],"subjectivity":[202],"problems.":[203]},"counts_by_year":[{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
