{"id":"https://openalex.org/W1978397948","doi":"https://doi.org/10.1109/his.2012.6421301","title":"Propagation of knowledge from crisp and soft clustering through a granular hierarchy","display_name":"Propagation of knowledge from crisp and soft clustering through a granular hierarchy","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W1978397948","doi":"https://doi.org/10.1109/his.2012.6421301","mag":"1978397948"},"language":"en","primary_location":{"id":"doi:10.1109/his.2012.6421301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","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/A5028107284","display_name":"Pawan Lingras","orcid":"https://orcid.org/0000-0002-2149-7242"},"institutions":[{"id":"https://openalex.org/I66890659","display_name":"Saint Mary's University","ror":"https://ror.org/010zh7098","country_code":"CA","type":"education","lineage":["https://openalex.org/I66890659"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Pawan Lingras","raw_affiliation_strings":["Saint Mary's University, Halifax, Canada","Saint Mary\u2018s University, Halifax, Canada"],"affiliations":[{"raw_affiliation_string":"Saint Mary's University, Halifax, Canada","institution_ids":["https://openalex.org/I66890659"]},{"raw_affiliation_string":"Saint Mary\u2018s University, Halifax, Canada","institution_ids":["https://openalex.org/I66890659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003505523","display_name":"Parag Bhalchandra","orcid":"https://orcid.org/0000-0001-5422-9423"},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]},{"id":"https://openalex.org/I196652580","display_name":"Swami Ramanand Teerth Marathwada University","ror":"https://ror.org/03nevd013","country_code":"IN","type":"education","lineage":["https://openalex.org/I196652580"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Bhalchandra","raw_affiliation_strings":["SRTM University, Nanded, India"],"affiliations":[{"raw_affiliation_string":"SRTM University, Nanded, India","institution_ids":["https://openalex.org/I4210093989","https://openalex.org/I196652580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022515585","display_name":"Santosh Khamitkar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]},{"id":"https://openalex.org/I196652580","display_name":"Swami Ramanand Teerth Marathwada University","ror":"https://ror.org/03nevd013","country_code":"IN","type":"education","lineage":["https://openalex.org/I196652580"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Khamitkar","raw_affiliation_strings":["SRTM University, Nanded, India"],"affiliations":[{"raw_affiliation_string":"SRTM University, Nanded, India","institution_ids":["https://openalex.org/I4210093989","https://openalex.org/I196652580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060323782","display_name":"Satish Mekewad","orcid":"https://orcid.org/0000-0002-5865-888X"},"institutions":[{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]},{"id":"https://openalex.org/I196652580","display_name":"Swami Ramanand Teerth Marathwada University","ror":"https://ror.org/03nevd013","country_code":"IN","type":"education","lineage":["https://openalex.org/I196652580"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Mekewad","raw_affiliation_strings":["SRTM University, Nanded, India"],"affiliations":[{"raw_affiliation_string":"SRTM University, Nanded, India","institution_ids":["https://openalex.org/I4210093989","https://openalex.org/I196652580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083470842","display_name":"Ravindra Rathod","orcid":"https://orcid.org/0000-0003-2311-2358"},"institutions":[{"id":"https://openalex.org/I196652580","display_name":"Swami Ramanand Teerth Marathwada University","ror":"https://ror.org/03nevd013","country_code":"IN","type":"education","lineage":["https://openalex.org/I196652580"]},{"id":"https://openalex.org/I4210093989","display_name":"Sanskriti Samvardhan Mandal","ror":"https://ror.org/01egfqj98","country_code":"IN","type":"other","lineage":["https://openalex.org/I4210093989"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Rathod","raw_affiliation_strings":["SRTM University, Nanded, India"],"affiliations":[{"raw_affiliation_string":"SRTM University, Nanded, India","institution_ids":["https://openalex.org/I4210093989","https://openalex.org/I196652580"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028107284"],"corresponding_institution_ids":["https://openalex.org/I66890659"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06657996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1711","issue":null,"first_page":"6","last_page":"11"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.984000027179718,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8252532482147217},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.6486817598342896},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.6394830346107483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5800381898880005},{"id":"https://openalex.org/keywords/granular-computing","display_name":"Granular computing","score":0.5751804709434509},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5300393104553223},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4884258806705475},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4817916750907898},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.44089236855506897},{"id":"https://openalex.org/keywords/phone","display_name":"Phone","score":0.42971259355545044},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33775752782821655},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.10099303722381592}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8252532482147217},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6486817598342896},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.6394830346107483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5800381898880005},{"id":"https://openalex.org/C17209119","wikidata":"https://www.wikidata.org/wiki/Q5596712","display_name":"Granular computing","level":3,"score":0.5751804709434509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5300393104553223},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4884258806705475},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4817916750907898},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.44089236855506897},{"id":"https://openalex.org/C2778707766","wikidata":"https://www.wikidata.org/wiki/Q202064","display_name":"Phone","level":2,"score":0.42971259355545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33775752782821655},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.10099303722381592},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/his.2012.6421301","is_oa":false,"landing_page_url":"https://doi.org/10.1109/his.2012.6421301","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 12th International Conference on Hybrid Intelligent Systems (HIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W99904291","https://openalex.org/W1513494614","https://openalex.org/W1536006514","https://openalex.org/W1712321737","https://openalex.org/W1725028495","https://openalex.org/W1977556410","https://openalex.org/W1987149779","https://openalex.org/W1990368529","https://openalex.org/W2048404808","https://openalex.org/W2051224630","https://openalex.org/W2072494908","https://openalex.org/W2113076747","https://openalex.org/W2113535566","https://openalex.org/W2127097372","https://openalex.org/W2127218421","https://openalex.org/W2166692930","https://openalex.org/W6631964878","https://openalex.org/W6637587671","https://openalex.org/W6637878623","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2350522004","https://openalex.org/W2370755174","https://openalex.org/W2377101006","https://openalex.org/W2187139637","https://openalex.org/W2350247864","https://openalex.org/W2112263672","https://openalex.org/W3013364385","https://openalex.org/W4288776216","https://openalex.org/W4231226332","https://openalex.org/W4212884024"],"abstract_inverted_index":{"Information":[0],"granules":[1,24,81],"allow":[2],"us":[3,17],"to":[4,18,28,42,85,115,132],"abstract":[5],"real":[6],"world":[7],"objects":[8],"using":[9],"their":[10],"relevant":[11],"attributes.":[12],"Level":[13],"of":[14,22,99],"abstraction":[15],"allows":[16],"create":[19],"a":[20,32,117,122,134],"network":[21],"information":[23,60],"that":[25,82],"are":[26,40,83,89],"connected":[27,41,84],"each":[29],"other":[30],"through":[31,61,106],"real-world":[33],"relationship.":[34],"For":[35],"example,":[36],"the":[37,43,52,59,62,69,77,97,107],"phone":[38,47,74,86],"calls":[39,87],"origin":[44],"and":[45,102,140],"destination":[46],"numbers.":[48],"This":[49],"paper":[50,95],"describes":[51],"relationship":[53],"between":[54,64],"clustering":[55,104,112,125,129,142],"schemes":[56,105],"by":[57],"propagating":[58],"connection":[63],"granules.":[65,93],"We":[66],"focus":[67],"on":[68],"hierarchical":[70],"granular":[71,108],"graphs,":[72],"where":[73],"numbers":[75],"represent":[76],"higher":[78],"level":[79,91],"(coarser)":[80],"which":[88],"lower":[90],"(finer)":[92],"The":[94,110],"studies":[96],"effect":[98],"transferring":[100],"crisp":[101,139],"fuzzy":[103,111,128,141],"hierarchy.":[109],"is":[113,130],"shown":[114,131],"provide":[116],"better":[118],"technique":[119],"for":[120,137],"such":[121],"transfer.":[123],"Rough":[124],"derived":[126],"from":[127],"be":[133],"good":[135],"instrument":[136],"comparing":[138],"schemes.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}