{"id":"https://openalex.org/W2000890305","doi":"https://doi.org/10.1109/ifsa-nafips.2013.6608451","title":"From clustering to granular clustering: A granular representation of data in pattern recognition and system modeling","display_name":"From clustering to granular clustering: A granular representation of data in pattern recognition and system modeling","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2000890305","doi":"https://doi.org/10.1109/ifsa-nafips.2013.6608451","mag":"2000890305"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-nafips.2013.6608451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-nafips.2013.6608451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5050142094","display_name":"Adam Gacek","orcid":"https://orcid.org/0000-0002-0836-2976"},"institutions":[{"id":"https://openalex.org/I4210125040","display_name":"Institute of Medical Technology and Equipment","ror":"https://ror.org/02ks0br87","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210125040"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Adam Gacek","raw_affiliation_strings":["Institute of Medical Technology and Equipment, Zabrze, Poland","Institute of Medical Technology and Equipment (ITAM) 118, Roosevelt Street, Zabrze 41-800, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Medical Technology and Equipment, Zabrze, Poland","institution_ids":["https://openalex.org/I4210125040"]},{"raw_affiliation_string":"Institute of Medical Technology and Equipment (ITAM) 118, Roosevelt Street, Zabrze 41-800, Poland","institution_ids":["https://openalex.org/I4210125040"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5050142094"],"corresponding_institution_ids":["https://openalex.org/I4210125040"],"apc_list":null,"apc_paid":null,"fwci":0.5447,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.56517935,"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":"502","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998000264167786,"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":0.9998000264167786,"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/T11727","display_name":"Advanced Algebra and Logic","score":0.9761000275611877,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/granular-computing","display_name":"Granular computing","score":0.905171811580658},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.820480465888977},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.8057417869567871},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6107273697853088},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6031525135040283},{"id":"https://openalex.org/keywords/granular-material","display_name":"Granular material","score":0.5842736959457397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5554041266441345},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.5087953209877014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41358423233032227},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.41131454706192017},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38704150915145874},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36487501859664917},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.20826634764671326},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1521662473678589}],"concepts":[{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.905171811580658},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.820480465888977},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.8057417869567871},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6107273697853088},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6031525135040283},{"id":"https://openalex.org/C32568104","wikidata":"https://www.wikidata.org/wiki/Q1155083","display_name":"Granular material","level":2,"score":0.5842736959457397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5554041266441345},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.5087953209877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41358423233032227},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.41131454706192017},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38704150915145874},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36487501859664917},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.20826634764671326},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1521662473678589},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ifsa-nafips.2013.6608451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-nafips.2013.6608451","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1490338671","https://openalex.org/W1978527081","https://openalex.org/W1999577724","https://openalex.org/W2004618158","https://openalex.org/W2095679991","https://openalex.org/W2113076747","https://openalex.org/W2153233077","https://openalex.org/W2153676086","https://openalex.org/W2154500141","https://openalex.org/W2798919688","https://openalex.org/W2799061466","https://openalex.org/W4230946174"],"related_works":["https://openalex.org/W2387100969","https://openalex.org/W2024919516","https://openalex.org/W99904291","https://openalex.org/W2370730867","https://openalex.org/W2381874527","https://openalex.org/W57347928","https://openalex.org/W2352363108","https://openalex.org/W2000890305","https://openalex.org/W2788907035","https://openalex.org/W3119543425"],"abstract_inverted_index":{"Fuzzy":[0],"clustering":[1],"has":[2],"been":[3,47],"one":[4],"of":[5,20,27,64,83,86,106,114,117],"the":[6,38,62,65,71,84,115],"commonly":[7],"used":[8],"vehicles":[9],"to":[10],"construct":[11],"information":[12,29,44,54,118],"granules":[13,30,45,55],"(whose":[14],"description":[15],"is":[16,100,121],"provided":[17],"in":[18,102],"terms":[19],"prototypes":[21],"and":[22,56,68,93,110],"partition":[23,96],"matrices).":[24],"The":[25],"quality":[26],"resulting":[28],"can":[31,49,75],"be":[32,50,76],"assessed":[33],"by":[34,53,80],"quantifying":[35],"how":[36,70],"well":[37],"original":[39],"numeric":[40],"data":[41],"from":[42],"which":[43],"have":[46],"constructed":[48],"represented":[51],"(granulated)":[52],"subsequently":[57],"reconstructed":[58],"(degranulated).":[59],"We":[60],"recall":[61],"concept":[63],"reconstruction":[66,73,107],"process":[67],"show":[69],"inevitable":[72],"errors":[74],"handled":[77],"(and":[78],"reduced)":[79],"granular":[81,90,94],"generalizations":[82],"representatives":[85],"fuzzy":[87],"clusters,":[88],"namely":[89],"propototypes":[91],"(hyperboxes)":[92],"(interval-valued)":[95],"matrices.":[97],"Their":[98],"construction":[99],"presented":[101],"detail,":[103],"several":[104],"ways":[105],"are":[108],"discussed":[109],"an":[111],"optimization":[112],"problem":[113],"level":[116],"granularity":[119],"involved":[120],"raised.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}