{"id":"https://openalex.org/W2979773788","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858907","title":"Feature Ranking using Robust Fuzzy Score Function for Gene Expression Data","display_name":"Feature Ranking using Robust Fuzzy Score Function for Gene Expression Data","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2979773788","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858907","mag":"2979773788"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8858907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","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/A5100778999","display_name":"Vikas Singh","orcid":"https://orcid.org/0000-0001-8014-6939"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Vikas Singh","raw_affiliation_strings":["Dept. of Electrical Engineering, IIT Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, IIT Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032560582","display_name":"Teena Sharma","orcid":"https://orcid.org/0000-0001-6709-1435"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Teena Sharma","raw_affiliation_strings":["Dept. of Electrical Engineering, IIT Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, IIT Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014147535","display_name":"Nishchal K. Verma","orcid":"https://orcid.org/0000-0001-8752-5616"},"institutions":[{"id":"https://openalex.org/I94234084","display_name":"Indian Institute of Technology Kanpur","ror":"https://ror.org/05pjsgx75","country_code":"IN","type":"education","lineage":["https://openalex.org/I94234084"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nishchal K Verma","raw_affiliation_strings":["Dept. of Electrical Engineering, IIT Kanpur, India"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical Engineering, IIT Kanpur, India","institution_ids":["https://openalex.org/I94234084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027995560","display_name":"Yan Cui","orcid":"https://orcid.org/0000-0002-7577-6845"},"institutions":[{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Cui","raw_affiliation_strings":["Dept. of Genetics, Genomics and Informatics University of Tennessee, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Genetics, Genomics and Informatics University of Tennessee, USA","institution_ids":["https://openalex.org/I75027704"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100778999"],"corresponding_institution_ids":["https://openalex.org/I94234084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09531092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"62","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9955999851226807,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9800999760627747,"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/softmax-function","display_name":"Softmax function","score":0.7899287939071655},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7371232509613037},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6793482303619385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6638758182525635},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.5251742601394653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5046168565750122},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4898814558982849},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.48607853055000305},{"id":"https://openalex.org/keywords/score","display_name":"Score","score":0.47902268171310425},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.448437362909317},{"id":"https://openalex.org/keywords/ranking-svm","display_name":"Ranking SVM","score":0.42794644832611084},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.42281556129455566},{"id":"https://openalex.org/keywords/relevance-vector-machine","display_name":"Relevance vector machine","score":0.4201313853263855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4035014510154724},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.39737579226493835},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.331756055355072},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1736200451850891}],"concepts":[{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.7899287939071655},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7371232509613037},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6793482303619385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6638758182525635},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.5251742601394653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5046168565750122},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4898814558982849},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.48607853055000305},{"id":"https://openalex.org/C65660741","wikidata":"https://www.wikidata.org/wiki/Q3952743","display_name":"Score","level":2,"score":0.47902268171310425},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.448437362909317},{"id":"https://openalex.org/C124975894","wikidata":"https://www.wikidata.org/wiki/Q7293290","display_name":"Ranking SVM","level":3,"score":0.42794644832611084},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.42281556129455566},{"id":"https://openalex.org/C14948415","wikidata":"https://www.wikidata.org/wiki/Q7310972","display_name":"Relevance vector machine","level":3,"score":0.4201313853263855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4035014510154724},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.39737579226493835},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.331756055355072},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1736200451850891},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8858907","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858907","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W3630269","https://openalex.org/W1485955713","https://openalex.org/W1486784550","https://openalex.org/W1500895378","https://openalex.org/W1520812622","https://openalex.org/W1583700199","https://openalex.org/W1995386082","https://openalex.org/W2040884411","https://openalex.org/W2064208261","https://openalex.org/W2066787077","https://openalex.org/W2087576375","https://openalex.org/W2087684630","https://openalex.org/W2091374137","https://openalex.org/W2108728387","https://openalex.org/W2109293916","https://openalex.org/W2119387367","https://openalex.org/W2119870871","https://openalex.org/W2125780188","https://openalex.org/W2132166479","https://openalex.org/W2132400238","https://openalex.org/W2143426320","https://openalex.org/W2153635508","https://openalex.org/W2158083229","https://openalex.org/W2189812566","https://openalex.org/W2256782633","https://openalex.org/W2524965963","https://openalex.org/W2578238698","https://openalex.org/W2611104316","https://openalex.org/W2783462244","https://openalex.org/W2787580321","https://openalex.org/W2795688948","https://openalex.org/W2885123287","https://openalex.org/W2894636309","https://openalex.org/W2896803398","https://openalex.org/W2946173470","https://openalex.org/W6628983204","https://openalex.org/W6628995657","https://openalex.org/W6676746716","https://openalex.org/W6732256179","https://openalex.org/W6753265319","https://openalex.org/W6755216638"],"related_works":["https://openalex.org/W4221107122","https://openalex.org/W2140869420","https://openalex.org/W4389983554","https://openalex.org/W12783365","https://openalex.org/W2075298172","https://openalex.org/W2098028537","https://openalex.org/W2167493664","https://openalex.org/W2366185040","https://openalex.org/W3021466180","https://openalex.org/W2811038726"],"abstract_inverted_index":{"Feature":[0],"engineering":[1],"plays":[2,57],"a":[3,21],"vital":[4],"role":[5,60],"in":[6,30,69],"selecting":[7],"relevant":[8],"features":[9,29,68,73],"that":[10,119],"have":[11,19],"maximum":[12],"predictive":[13],"value.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18,114],"proposed":[20,76,112],"Gaussian":[22,43],"fuzzy":[23,44],"score":[24,35,45],"function":[25,46,95],"to":[26,61,82],"rank":[27],"the":[28,42,63,67,70,108,111],"descending":[31],"order":[32],"of":[33,41,51,55,66,110,120],"their":[34],"values.":[36],"The":[37,53,72],"mean":[38,50,54],"and":[39,102],"variance":[40],"are":[47,80],"determined":[48],"using":[49,75],"k-middle.":[52],"k-middle":[56],"an":[58],"important":[59],"determine":[62],"complementary":[64],"information":[65],"dataset.":[71],"selected":[74],"feature":[77],"ranking":[78],"method":[79],"fed":[81],"four":[83],"widely":[84],"used":[85],"classifiers,":[86],"i.e.,":[87],"linear":[88],"kernel":[89,96],"support":[90,97],"vector":[91,98],"machine,":[92,99],"radial":[93],"basis":[94],"random":[100],"forest":[101],"softmax":[103],"classifier":[104],"respectively.":[105],"To":[106],"show":[107],"effectiveness":[109],"approach,":[113],"compared":[115],"its":[116],"performance":[117],"with":[118],"state-of-the-art":[121],"methods":[122],"on":[123],"five":[124],"large-scale":[125],"gene":[126],"expression":[127],"datasets.":[128]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}