{"id":"https://openalex.org/W2035261122","doi":"https://doi.org/10.1145/1858378.1858380","title":"Impact analysis of Jensen and Sk pal fuzzification in classification","display_name":"Impact analysis of Jensen and Sk pal fuzzification in classification","publication_year":2010,"publication_date":"2010-09-16","ids":{"openalex":"https://openalex.org/W2035261122","doi":"https://doi.org/10.1145/1858378.1858380","mag":"2035261122"},"language":"en","primary_location":{"id":"doi:10.1145/1858378.1858380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1858378.1858380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India","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/A5109147265","display_name":"Rama Devi Yellasiri","orcid":null},"institutions":[{"id":"https://openalex.org/I134892692","display_name":"Chaitanya Bharathi Institute of Technology","ror":"https://ror.org/047ymzq84","country_code":"IN","type":"education","lineage":["https://openalex.org/I134892692"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Rama Devi Yellasiri","raw_affiliation_strings":["CBIT, Gandipet, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"CBIT, Gandipet, Hyderabad, India","institution_ids":["https://openalex.org/I134892692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071066610","display_name":"Priya Gopal","orcid":null},"institutions":[{"id":"https://openalex.org/I134892692","display_name":"Chaitanya Bharathi Institute of Technology","ror":"https://ror.org/047ymzq84","country_code":"IN","type":"education","lineage":["https://openalex.org/I134892692"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. Venu Gopal","raw_affiliation_strings":["CBIT, Gandipet, Hyderabad, India"],"affiliations":[{"raw_affiliation_string":"CBIT, Gandipet, Hyderabad, India","institution_ids":["https://openalex.org/I134892692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009848742","display_name":"P. S. V. S. Sai Prasad","orcid":null},"institutions":[{"id":"https://openalex.org/I36893310","display_name":"University of Hyderabad","ror":"https://ror.org/04a7rxb17","country_code":"IN","type":"education","lineage":["https://openalex.org/I36893310"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"P. S. V. S. Sai Prasad","raw_affiliation_strings":["University of Hyderabad, Hyderabad, India","University of Hyderabad, Hyderabad, India;"],"affiliations":[{"raw_affiliation_string":"University of Hyderabad, Hyderabad, India","institution_ids":["https://openalex.org/I36893310"]},{"raw_affiliation_string":"University of Hyderabad, Hyderabad, India;","institution_ids":["https://openalex.org/I36893310"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5109147265"],"corresponding_institution_ids":["https://openalex.org/I134892692"],"apc_list":null,"apc_paid":null,"fwci":0.3345,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60625532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9976999759674072,"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"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.7185671329498291},{"id":"https://openalex.org/keywords/rough-set","display_name":"Rough set","score":0.6888812184333801},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5570324063301086},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5226806998252869},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5216720104217529},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.519485354423523},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4655958116054535},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45543086528778076},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41214701533317566},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41016319394111633}],"concepts":[{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.7185671329498291},{"id":"https://openalex.org/C111012933","wikidata":"https://www.wikidata.org/wiki/Q3137210","display_name":"Rough set","level":2,"score":0.6888812184333801},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5570324063301086},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5226806998252869},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5216720104217529},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.519485354423523},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4655958116054535},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45543086528778076},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41214701533317566},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41016319394111633},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1858378.1858380","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1858378.1858380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st Amrita ACM-W Celebration on Women in Computing in India","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1484754041","https://openalex.org/W1924168632","https://openalex.org/W1976034104","https://openalex.org/W2086876270","https://openalex.org/W2095727900","https://openalex.org/W2101965159","https://openalex.org/W2162364423","https://openalex.org/W2340020088","https://openalex.org/W3006739383","https://openalex.org/W3009784374","https://openalex.org/W4255833381"],"related_works":["https://openalex.org/W2392963705","https://openalex.org/W2378211422","https://openalex.org/W2382278777","https://openalex.org/W2107349454","https://openalex.org/W2353240132","https://openalex.org/W1964260090","https://openalex.org/W2375932290","https://openalex.org/W2978519593","https://openalex.org/W2102746356","https://openalex.org/W4390066334"],"abstract_inverted_index":{"In":[0,78],"this":[1],"paper,":[2],"we":[3,43],"compare":[4],"fuzzy-rough":[5,8],"and":[6,16,55],"Ant":[7],"feature":[9,30],"selection":[10,31],"algorithms":[11],"with":[12,69],"respect":[13,70],"to":[14,25,38,60,71],"reduct":[15],"corresponding":[17],"classification":[18],"accuracy.":[19],"It":[20],"is":[21,66],"known":[22],"that,":[23],"prior":[24],"applying":[26],"these":[27,72],"fuzzy":[28],"rough":[29],"algorithms;":[32],"fuzzification":[33,47,58,73,85,91],"of":[34],"the":[35,62],"dataset":[36],"has":[37],"be":[39],"done.":[40],"For":[41],"which,":[42],"have":[44],"adopted":[45],"Jensen's":[46],"method":[48,59],"(used":[49],"by":[50],"him":[51],"for":[52],"his":[53],"work)":[54],"Sk":[56,83],"pal":[57],"fuzzify":[61],"data.":[63],"The":[64],"comparison":[65],"done":[67],"specifically":[68],"methods":[74],"on":[75],"benchmark":[76],"datasets.":[77],"addition,":[79],"it":[80],"shows":[81],"that":[82],"pal's":[84],"gives":[86],"better":[87],"results":[88],"than":[89],"Jensen":[90],"method.":[92]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
