{"id":"https://openalex.org/W2143117980","doi":"https://doi.org/10.1109/fuzzy.2007.4295536","title":"DC&lt;sup&gt;&amp;#x003B3;&lt;/sup&gt; : Interpretable Granulation of Data through GA-based Double Clustering","display_name":"DC&lt;sup&gt;&amp;#x003B3;&lt;/sup&gt; : Interpretable Granulation of Data through GA-based Double Clustering","publication_year":2007,"publication_date":"2007-06-01","ids":{"openalex":"https://openalex.org/W2143117980","doi":"https://doi.org/10.1109/fuzzy.2007.4295536","mag":"2143117980"},"language":"en","primary_location":{"id":"doi:10.1109/fuzzy.2007.4295536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","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/A5059641282","display_name":"Corrado Mencar","orcid":"https://orcid.org/0000-0001-8712-023X"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"C. Mencar","raw_affiliation_strings":["Department of Informatics, CILab, University of Bari, Bari, Italy","Bari Univ., Bari"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, CILab, University of Bari, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]},{"raw_affiliation_string":"Bari Univ., Bari","institution_ids":["https://openalex.org/I5561750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089202793","display_name":"Arianna Consiglio","orcid":"https://orcid.org/0000-0003-3768-6352"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Consiglio","raw_affiliation_strings":["email: consiglio.arianna@unibari.net"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"email: consiglio.arianna@unibari.net","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075541177","display_name":"Anna Maria Fanelli","orcid":"https://orcid.org/0000-0003-4243-9815"},"institutions":[{"id":"https://openalex.org/I5561750","display_name":"University of Bari Aldo Moro","ror":"https://ror.org/027ynra39","country_code":"IT","type":"education","lineage":["https://openalex.org/I5561750"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"A.M. Fanelli","raw_affiliation_strings":["Department of Informatics, CILab, University of Bari, Bari, Italy","Senior Member, IEEE, Department of Informatics, CILab, University of Bari, via Orabona, 4, Bari, 70125, Italy. phone/fax: +39 080 5442135; email: fanelli@di.uniba.it"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, CILab, University of Bari, Bari, Italy","institution_ids":["https://openalex.org/I5561750"]},{"raw_affiliation_string":"Senior Member, IEEE, Department of Informatics, CILab, University of Bari, via Orabona, 4, Bari, 70125, Italy. phone/fax: +39 080 5442135; email: fanelli@di.uniba.it","institution_ids":["https://openalex.org/I5561750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3741,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66611822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9979000091552734,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9868000149726868,"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/interpretability","display_name":"Interpretability","score":0.8400030732154846},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.8301435708999634},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5187144875526428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.512475311756134},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.48743966221809387},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.46680358052253723},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4369737207889557},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4156639873981476},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34328693151474},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3418036997318268},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33013010025024414}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8400030732154846},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8301435708999634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5187144875526428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.512475311756134},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48743966221809387},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.46680358052253723},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4369737207889557},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4156639873981476},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34328693151474},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3418036997318268},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33013010025024414},{"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:10.1109/fuzzy.2007.4295536","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzzy.2007.4295536","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Fuzzy Systems Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:ricerca.uniba.it:11586/106362","is_oa":false,"landing_page_url":"http://hdl.handle.net/11586/106362","pdf_url":null,"source":{"id":"https://openalex.org/S4377196296","display_name":"CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I5561750","host_organization_name":"University of Bari Aldo Moro","host_organization_lineage":["https://openalex.org/I5561750"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1027096445","https://openalex.org/W1547486747","https://openalex.org/W1569788950","https://openalex.org/W1679913846","https://openalex.org/W2084812512","https://openalex.org/W2102671141","https://openalex.org/W2116772194","https://openalex.org/W2128069141","https://openalex.org/W2142334564","https://openalex.org/W2153676086","https://openalex.org/W2169555933","https://openalex.org/W2885263386","https://openalex.org/W3009784374","https://openalex.org/W4213332169","https://openalex.org/W6632818415","https://openalex.org/W7028597600"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4247136043","https://openalex.org/W4312407344"],"abstract_inverted_index":{"In":[0,54],"this":[1],"paper":[2],"we":[3],"present":[4],"an":[5],"approach":[6,120],"for":[7,12],"extracting":[8],"interpretable":[9],"information":[10,79],"granules":[11,80],"classification.":[13],"The":[14,32,86],"approach,":[15],"called":[16],"DC":[17,90],"<sup":[18,91],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[19,92],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">\u03b3</sup>":[20,93],"(double":[21],"clustering":[22,30],"with":[23,69],"genetic":[24,59],"algorithms)":[25],"is":[26,61,94],"based":[27],"on":[28,109],"two":[29,110],"steps.":[31],"first":[33],"step":[34,57],"uses":[35],"LVQ1":[36],"to":[37,48,63],"identify":[38],"cluster":[39],"prototypes":[40,68],"in":[41,103,121],"the":[42,55,64,70,95,98,104,115,118],"multidimensional":[43],"data":[44],"space":[45],"so":[46],"as":[47],"represent":[49],"hidden":[50],"relationships":[51],"among":[52],"data.":[53],"second":[56,105],"a":[58,74],"algorithm":[60],"applied":[62],"projections":[65],"of":[66,72,77,89,97,117,123],"these":[67],"objective":[71],"finding":[73],"minimal":[75],"number":[76],"fuzzy":[78],"that":[81],"verify":[82],"some":[83],"interpretability":[84,125],"constraints.":[85],"key":[87],"feature":[88],"efficiency":[96],"minimization":[99],"process":[100],"carried":[101],"out":[102],"step.":[106],"Experimental":[107],"results":[108],"medical":[111],"diagnosis":[112],"problems":[113],"show":[114],"effectiveness":[116],"proposed":[119],"terms":[122],"accuracy,":[124],"and":[126],"efficiency.":[127]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}