{"id":"https://openalex.org/W2601105747","doi":"https://doi.org/10.1109/ipas.2016.7880145","title":"A self-constructing neuro-fuzzy classifier for breast cancer diagnosis using swarm intelligence","display_name":"A self-constructing neuro-fuzzy classifier for breast cancer diagnosis using swarm intelligence","publication_year":2016,"publication_date":"2016-11-01","ids":{"openalex":"https://openalex.org/W2601105747","doi":"https://doi.org/10.1109/ipas.2016.7880145","mag":"2601105747"},"language":"en","primary_location":{"id":"doi:10.1109/ipas.2016.7880145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2016.7880145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Image Processing, Applications and Systems (IPAS)","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/A5057995210","display_name":"Manel Elloumi","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Manel Elloumi","raw_affiliation_strings":["Computers Imaging Electronics and Systems Group (CIELS), Sfax Engineering School, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Computers Imaging Electronics and Systems Group (CIELS), Sfax Engineering School, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045403376","display_name":"Mohamed Krid","orcid":"https://orcid.org/0000-0002-4058-8625"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Mohamed Krid","raw_affiliation_strings":["Computers Imaging Electronics and Systems Group (CIELS), Sfax Engineering School, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Computers Imaging Electronics and Systems Group (CIELS), Sfax Engineering School, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111676396","display_name":"Dorra Sellami Masmoudi","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Dorra Sellami Masmoudi","raw_affiliation_strings":["Computers Imaging Electronics and Systems Group (CIELS), Sfax Engineering School, Sfax, Tunisia"],"affiliations":[{"raw_affiliation_string":"Computers Imaging Electronics and Systems Group (CIELS), Sfax Engineering School, Sfax, Tunisia","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057995210"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":0.4285,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.81091956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9944999814033508,"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":0.9944999814033508,"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/T10320","display_name":"Neural Networks and Applications","score":0.9940999746322632,"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/T14438","display_name":"Advanced Scientific Research Methods","score":0.9746000170707703,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7531354427337646},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6839938163757324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6271288990974426},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6003292798995972},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.5408968925476074},{"id":"https://openalex.org/keywords/fuzzy-rule","display_name":"Fuzzy rule","score":0.5350331664085388},{"id":"https://openalex.org/keywords/swarm-intelligence","display_name":"Swarm intelligence","score":0.5065330266952515},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49220314621925354},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.48071032762527466},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43091824650764465},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33230066299438477},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.3051435947418213},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.1525651216506958}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7531354427337646},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6839938163757324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6271288990974426},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6003292798995972},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.5408968925476074},{"id":"https://openalex.org/C2780049643","wikidata":"https://www.wikidata.org/wiki/Q5511139","display_name":"Fuzzy rule","level":4,"score":0.5350331664085388},{"id":"https://openalex.org/C119487961","wikidata":"https://www.wikidata.org/wiki/Q863960","display_name":"Swarm intelligence","level":3,"score":0.5065330266952515},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49220314621925354},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.48071032762527466},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43091824650764465},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33230066299438477},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.3051435947418213},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.1525651216506958},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipas.2016.7880145","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipas.2016.7880145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 International Image Processing, Applications and Systems (IPAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1833977909","https://openalex.org/W1976092880","https://openalex.org/W2003087683","https://openalex.org/W2023620568","https://openalex.org/W2033500239","https://openalex.org/W2050442533","https://openalex.org/W2103601711","https://openalex.org/W2109638028","https://openalex.org/W2142899655","https://openalex.org/W2149846955","https://openalex.org/W2152195021","https://openalex.org/W2153988660","https://openalex.org/W2160026089","https://openalex.org/W2183227931","https://openalex.org/W2332614919","https://openalex.org/W4237834231","https://openalex.org/W6682646487"],"related_works":["https://openalex.org/W3019402777","https://openalex.org/W4386596916","https://openalex.org/W2978078020","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W1969166468","https://openalex.org/W2122371747","https://openalex.org/W2070977815","https://openalex.org/W2241084252","https://openalex.org/W2083536291"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,34,63,89,153],"self-constructing":[4,39],"neuro-fuzzy":[5],"(SCNF)":[6],"classifier":[7,123],"optimized":[8],"by":[9],"swarm":[10,72],"intelligence":[11],"technique":[12],"is":[13,25,41,76,92,124,146],"proposed":[14,117,121,144,172],"for":[15,135],"breast":[16,131,136,150],"cancer":[17,132,137,151],"diagnosis.":[18,138],"The":[19,120],"first":[20],"step":[21],"in":[22],"the":[23,26,29,47,85,96,100,106,108,111,116,127,143,167,171],"design":[24,95],"definition":[27],"of":[28,84,99,115,156,170],"fuzzy":[30,64],"network":[31],"structure.":[32],"Accordingly,":[33,88],"rule":[35,65],"generation":[36],"approach":[37],"with":[38,152],"property":[40],"proposed.":[42],"Based":[43],"on":[44,126],"similarity":[45],"measures,":[46],"given":[48],"input-output":[49],"patterns":[50],"are":[51,58],"organized":[52],"into":[53,104],"clusters.":[54],"Then,":[55],"membership":[56],"functions":[57],"generated":[59],"roughly":[60],"to":[61,78,94,148],"form":[62],"base.":[66],"To":[67],"achieve":[68],"accurate":[69],"learning,":[70],"particle":[71],"optimization":[73],"(PSO)":[74],"algorithm":[75],"used":[77,129],"adjust":[79],"consequent":[80],"and":[81,110],"antecedent":[82],"parameters":[83],"obtained":[86],"rules.":[87],"weighted":[90],"function":[91,98],"constructed":[93],"objective":[97],"PSO,":[101],"which":[102],"takes":[103],"account":[105],"specificity,":[107],"sensitivity":[109],"total":[112],"classification":[113,154],"accuracy":[114,155],"SCNF":[118,122],"classifier.":[119,173],"evaluated":[125],"widely":[128],"Wisconsin":[130],"dataset":[133],"(WBCD)":[134],"Experimental":[139],"results":[140],"confirm":[141],"that":[142],"model":[145],"able":[147],"detect":[149],"more":[157],"than":[158],"99%.":[159],"A":[160],"comparative":[161],"study":[162],"has":[163],"been":[164],"elaborated":[165],"confirming":[166],"best":[168],"performance":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}