{"id":"https://openalex.org/W2493271313","doi":"https://doi.org/10.1080/10798587.2016.1209322","title":"Multi-Objective Complete Fuzzy Clustering Approach","display_name":"Multi-Objective Complete Fuzzy Clustering Approach","publication_year":2016,"publication_date":"2016-07-27","ids":{"openalex":"https://openalex.org/W2493271313","doi":"https://doi.org/10.1080/10798587.2016.1209322","mag":"2493271313"},"language":"en","primary_location":{"id":"doi:10.1080/10798587.2016.1209322","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2016.1209322","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-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/A5097122908","display_name":"Parastou Shahsamandi E.","orcid":null},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Parastou Shahsamandi E.","raw_affiliation_strings":["Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082358913","display_name":"Soheil Sadi\u2010Nezhad","orcid":"https://orcid.org/0000-0002-6022-3850"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]},{"id":"https://openalex.org/I4210156386","display_name":"Actua","ror":"https://ror.org/04pcj0h26","country_code":"CA","type":"nonprofit","lineage":["https://openalex.org/I4210156386"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Soheil Sadi-nezhad","raw_affiliation_strings":["Department of Statistics and Actuarial Science, University of Waterloo, Toronto, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Actuarial Science, University of Waterloo, Toronto, Canada","institution_ids":["https://openalex.org/I151746483","https://openalex.org/I4210156386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024414785","display_name":"Abbas Saghaei","orcid":"https://orcid.org/0000-0002-9660-1251"},"institutions":[{"id":"https://openalex.org/I155419210","display_name":"Islamic Azad University, Science and Research Branch","ror":"https://ror.org/03187yj51","country_code":"IR","type":"education","lineage":["https://openalex.org/I110525433","https://openalex.org/I155419210"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Abbas Saghaei","raw_affiliation_strings":["Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran","institution_ids":["https://openalex.org/I155419210"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5097122908"],"corresponding_institution_ids":["https://openalex.org/I155419210"],"apc_list":null,"apc_paid":null,"fwci":0.857,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83676761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"23","issue":"2","first_page":"285","last_page":"294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9991999864578247,"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":0.9918000102043152,"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/T10057","display_name":"Face and Expression Recognition","score":0.9879999756813049,"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":0.9262223243713379},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.590096116065979},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5451492667198181},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49327796697616577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.475232869386673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40676188468933105},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3445158004760742}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9262223243713379},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.590096116065979},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5451492667198181},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49327796697616577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.475232869386673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40676188468933105},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3445158004760742}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10798587.2016.1209322","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10798587.2016.1209322","pdf_url":null,"source":{"id":"https://openalex.org/S40639465","display_name":"Intelligent Automation & Soft Computing","issn_l":"1079-8587","issn":["1079-8587","2326-005X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligent Automation & Soft Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1594924988","https://openalex.org/W1613273921","https://openalex.org/W1673310716","https://openalex.org/W1966325151","https://openalex.org/W1977522059","https://openalex.org/W1978527081","https://openalex.org/W1983753875","https://openalex.org/W1989216855","https://openalex.org/W1993589337","https://openalex.org/W1996747841","https://openalex.org/W2002636607","https://openalex.org/W2020287868","https://openalex.org/W2026662237","https://openalex.org/W2036107457","https://openalex.org/W2039063696","https://openalex.org/W2070843600","https://openalex.org/W2070983909","https://openalex.org/W2092407147","https://openalex.org/W2106231890","https://openalex.org/W2108031918","https://openalex.org/W2113076747","https://openalex.org/W2117853077","https://openalex.org/W2126105956","https://openalex.org/W2127218421","https://openalex.org/W2135072491","https://openalex.org/W2157682389","https://openalex.org/W2336919596","https://openalex.org/W2406806714","https://openalex.org/W2483347049","https://openalex.org/W2606395562","https://openalex.org/W3021498537","https://openalex.org/W4232023503","https://openalex.org/W4246354717"],"related_works":["https://openalex.org/W2165695836","https://openalex.org/W4220795558","https://openalex.org/W2398543122","https://openalex.org/W4200264217","https://openalex.org/W2072494908","https://openalex.org/W2941132005","https://openalex.org/W2608738689","https://openalex.org/W2273660186","https://openalex.org/W1698234622","https://openalex.org/W2389934482"],"abstract_inverted_index":{"AbstractThe":[0],"process":[1],"of":[2,26,80],"data":[3,42],"clustering":[4,36],"has":[5,65],"mainly":[6],"focused":[7],"on":[8],"optimizing":[9],"a":[10,32,73],"single":[11],"objective":[12],"function,":[13],"and":[14,45,54,68],"thus,":[15],"some":[16,57],"information":[17],"is":[18,29,91,98],"not":[19],"used":[20],"for":[21],"clustering.":[22],"Therefore,":[23],"the":[24,60,92],"aim":[25],"this":[27],"study":[28],"to":[30],"propose":[31],"multi-objective":[33],"complete":[34],"fuzzy":[35,58],"model":[37,48],"(MoCFC)":[38],"that":[39,63],"simultaneously":[40],"optimizes":[41],"compactness,":[43],"separation,":[44],"connectedness.":[46],"The":[47],"employs":[49],"two":[50],"optimization":[51],"algorithms;":[52],"AUGMECON":[53,64,85],"NSGA-II.":[55],"Using":[56],"datasets,":[59],"results":[61],"show":[62],"lower":[66],"convergence":[67],"coverage":[69],"than":[70],"NSGA-II,":[71],"but":[72],"higher":[74],"success":[75],"index.":[76],"Moreover,":[77],"in":[78],"terms":[79],"various":[81],"cluster":[82],"validity":[83],"indices,":[84],"achieves":[86],"better":[87,93],"performance.":[88],"However,":[89],"NSGA-II":[90],"choice":[94],"if":[95],"execution":[96],"time":[97],"critical.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}