{"id":"https://openalex.org/W1957972140","doi":"https://doi.org/10.1109/fuzz.2003.1206545","title":"Extended fuzzy clustering algorithm based on an inclusion concept","display_name":"Extended fuzzy clustering algorithm based on an inclusion concept","publication_year":2004,"publication_date":"2004-03-01","ids":{"openalex":"https://openalex.org/W1957972140","doi":"https://doi.org/10.1109/fuzz.2003.1206545","mag":"1957972140"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz.2003.1206545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206545","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":null,"display_name":"S. Nefti","orcid":null},"institutions":[{"id":"https://openalex.org/I54459138","display_name":"University of Salford","ror":"https://ror.org/01tmqtf75","country_code":"GB","type":"education","lineage":["https://openalex.org/I54459138"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"S. Nefti","raw_affiliation_strings":["Computer Science Department, Salford University, UK","Dept. of Comput. Sci., Salford Univ., UK"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Salford University, UK","institution_ids":["https://openalex.org/I54459138"]},{"raw_affiliation_string":"Dept. of Comput. Sci., Salford Univ., UK","institution_ids":["https://openalex.org/I54459138"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025672785","display_name":"Karim Djouani","orcid":"https://orcid.org/0000-0001-6060-8200"},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I4210156583","display_name":"Laboratoire d'Informatique de Paris-Nord","ror":"https://ror.org/05g1zjw44","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I4210091279","https://openalex.org/I4210156583","https://openalex.org/I4210159245"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"K. Djouani","raw_affiliation_strings":["Computer Science and Robotics Laboratory-LIIA, University of Pans Val de Mame, France","Paris 12 Val de Marne University"],"affiliations":[{"raw_affiliation_string":"Computer Science and Robotics Laboratory-LIIA, University of Pans Val de Mame, France","institution_ids":["https://openalex.org/I4210156583"]},{"raw_affiliation_string":"Paris 12 Val de Marne University","institution_ids":["https://openalex.org/I197681013"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I54459138"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08845958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"869","last_page":"874"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9975000023841858,"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":0.9975000023841858,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9794999957084656,"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/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.6089342832565308},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5889174938201904},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.5754079222679138},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5714735388755798},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.5703117251396179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5570350289344788},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5503555536270142},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.5419853329658508},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.481273353099823},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.4775455892086029},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.44779348373413086},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4354335069656372},{"id":"https://openalex.org/keywords/type-2-fuzzy-sets-and-systems","display_name":"Type-2 fuzzy sets and systems","score":0.4131467044353485},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39163586497306824},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.37133944034576416},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36161571741104126},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.32691702246665955}],"concepts":[{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.6089342832565308},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5889174938201904},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.5754079222679138},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5714735388755798},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.5703117251396179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5570350289344788},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5503555536270142},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.5419853329658508},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.481273353099823},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.4775455892086029},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.44779348373413086},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4354335069656372},{"id":"https://openalex.org/C17350324","wikidata":"https://www.wikidata.org/wiki/Q7860605","display_name":"Type-2 fuzzy sets and systems","level":5,"score":0.4131467044353485},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39163586497306824},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.37133944034576416},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36161571741104126},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.32691702246665955}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz.2003.1206545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz.2003.1206545","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":[{"display_name":"Reduced inequalities","score":0.7699999809265137,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1844759285","https://openalex.org/W1971888031","https://openalex.org/W2079325629","https://openalex.org/W2096982516","https://openalex.org/W2110177054","https://openalex.org/W2113076747","https://openalex.org/W2120688485","https://openalex.org/W2126066766","https://openalex.org/W2169749332","https://openalex.org/W2914825457","https://openalex.org/W3125522338","https://openalex.org/W4252134603","https://openalex.org/W6670547122","https://openalex.org/W6676335179","https://openalex.org/W6759536348"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W2674573885","https://openalex.org/W1485268022","https://openalex.org/W1975005191","https://openalex.org/W2331106272","https://openalex.org/W139981661","https://openalex.org/W4361984403","https://openalex.org/W1542808721","https://openalex.org/W2960454922","https://openalex.org/W2155303449"],"abstract_inverted_index":{"Fuzzy":[0],"modeling":[1],"of":[2,58,72,76,80,105,136,146,153,166],"complex":[3],"systems":[4],"is":[5,120,140,174],"a":[6,150,159,177,182],"challenging":[7],"topic.":[8],"This":[9,43],"paper":[10],"proposes":[11],"an":[12,98,111,123],"effective":[13],"approach":[14],"to":[15,40,55],"data-based":[16],"fuzzy":[17,19,30,59,81,106,138,167],"optimizing":[18],"system":[20,139],"structure":[21],"and":[22,63,86,109],"parameters.":[23],"For":[24],"this":[25],"purpose,":[26],"we":[27,96],"cope":[28],"with":[29,158],"clustering":[31,107],"based":[32,101,162],"on":[33,90,102,110,163],"inclusion":[34,112,124],"concept":[35,113],"where":[36],"the":[37,47,56,70,73,77,88,103,127,129,137,144,147,154,164],"rule-base":[38,60],"has":[39],"be":[41],"simplified.":[42],"simplification":[44],"occurs":[45],"in":[46,92],"sense":[48],"that":[49],"similar":[50],"Membership":[51],"Functions":[52],"(MF)":[53],"pertaining":[54],"premise":[57],"are":[61,132],"merged":[62],"replaced":[64],"by":[65,115,122,171,176],"one":[66],"common":[67],"MF,":[68],"capturing":[69],"meaning":[71],"former.":[74],"Reduction":[75],"total":[78],"number":[79],"sets":[82],"improves":[83],"semantic":[84],"interpretation":[85],"reduces":[87],"demand":[89],"memory":[91],"implementation":[93],"context.":[94],"So,":[95],"propose":[97],"extended":[99],"algorithm":[100,161],"class":[104,165],"method":[108,169],"proposed":[114,148],"Nefti":[116],"et":[117],"al.,":[118],"which":[119,180],"characterized":[121],"index.":[125],"During":[126],"optimization,":[128],"redundant":[130],"rules":[131],"deleted.":[133],"Finally,":[134],"interpretability":[135],"improved.":[141],"To":[142],"show":[143],"effectiveness":[145],"algorithm,":[149],"comparative":[151],"study":[152],"obtained":[155],"simulation":[156],"results":[157],"conventional":[160],"C-means":[168],"introduced":[170],"Bezdek":[172],"FCM":[173],"presented":[175],"numerical":[178],"example,":[179],"computes":[181],"MISO":[183],"architecture.":[184]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-25T23:56:10.502304","created_date":"2025-10-10T00:00:00"}
