{"id":"https://openalex.org/W2571030740","doi":"https://doi.org/10.1007/978-3-319-51281-5_19","title":"Non-linear Based Fuzzy Random Regression for Independent Variable Selection","display_name":"Non-linear Based Fuzzy Random Regression for Independent Variable Selection","publication_year":2016,"publication_date":"2016-12-29","ids":{"openalex":"https://openalex.org/W2571030740","doi":"https://doi.org/10.1007/978-3-319-51281-5_19","mag":"2571030740"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-51281-5_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_19","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-319-51281-5_19","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048503494","display_name":"Mohd Zaki Mohd Salikon","orcid":"https://orcid.org/0000-0002-4994-2379"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Mohd Zaki Mohd Salikon","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Batu Pahat, 86400, Parit Raja, Johor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Batu Pahat, 86400, Parit Raja, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016614429","display_name":"Nureize Arbaiy","orcid":"https://orcid.org/0000-0002-9535-8384"},"institutions":[{"id":"https://openalex.org/I930072361","display_name":"Tun Hussein Onn University of Malaysia","ror":"https://ror.org/01c5wha71","country_code":"MY","type":"education","lineage":["https://openalex.org/I930072361"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Nureize Arbaiy","raw_affiliation_strings":["Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Batu Pahat, 86400, Parit Raja, Johor, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn, Batu Pahat, 86400, Parit Raja, Johor, Malaysia","institution_ids":["https://openalex.org/I930072361"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5016614429","https://openalex.org/A5048503494"],"corresponding_institution_ids":["https://openalex.org/I930072361"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23448276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"179","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9937999844551086,"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"}},{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9740999937057495,"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/linear-regression","display_name":"Linear regression","score":0.6149004101753235},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5827992558479309},{"id":"https://openalex.org/keywords/proper-linear-model","display_name":"Proper linear model","score":0.56996089220047},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5683708786964417},{"id":"https://openalex.org/keywords/linear-predictor-function","display_name":"Linear predictor function","score":0.5610412359237671},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5287991166114807},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5050190091133118},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5007326602935791},{"id":"https://openalex.org/keywords/segmented-regression","display_name":"Segmented regression","score":0.4792323410511017},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.46006572246551514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4243257939815521},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.42362847924232483},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3459036350250244},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33642178773880005},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.3176323175430298}],"concepts":[{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.6149004101753235},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5827992558479309},{"id":"https://openalex.org/C32224588","wikidata":"https://www.wikidata.org/wiki/Q7250175","display_name":"Proper linear model","level":4,"score":0.56996089220047},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5683708786964417},{"id":"https://openalex.org/C162948026","wikidata":"https://www.wikidata.org/wiki/Q6553486","display_name":"Linear predictor function","level":5,"score":0.5610412359237671},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5287991166114807},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5050190091133118},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5007326602935791},{"id":"https://openalex.org/C35519122","wikidata":"https://www.wikidata.org/wiki/Q3775699","display_name":"Segmented regression","level":4,"score":0.4792323410511017},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.46006572246551514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4243257939815521},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.42362847924232483},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3459036350250244},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33642178773880005},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.3176323175430298},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-51281-5_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_19","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-319-51281-5_19","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-319-51281-5_19","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W25274176","https://openalex.org/W79473185","https://openalex.org/W390771207","https://openalex.org/W1184059260","https://openalex.org/W1566635241","https://openalex.org/W1965360385","https://openalex.org/W2007271871","https://openalex.org/W2009099350","https://openalex.org/W2009721924","https://openalex.org/W2015954856","https://openalex.org/W2020927202","https://openalex.org/W2039015671","https://openalex.org/W2109460885","https://openalex.org/W2113155743","https://openalex.org/W2121403596","https://openalex.org/W2128530362","https://openalex.org/W2132816971","https://openalex.org/W2164000889","https://openalex.org/W2172188663","https://openalex.org/W2476728319","https://openalex.org/W4285719527","https://openalex.org/W6681342136","https://openalex.org/W7047097827"],"related_works":["https://openalex.org/W4309298396","https://openalex.org/W1572494532","https://openalex.org/W1523442101","https://openalex.org/W4378673077","https://openalex.org/W4248534646","https://openalex.org/W652992540","https://openalex.org/W2068212264","https://openalex.org/W1965510890","https://openalex.org/W65314033","https://openalex.org/W4353031183"],"abstract_inverted_index":{"This":[0,67],"paper":[1,68],"demonstrates":[2],"a":[3],"fuzzy":[4,47,78],"random":[5,48,79],"regression":[6,17,43,49,80],"approach":[7,21,50],"using":[8],"genetic":[9],"algorithm":[10,71],"(FRR-GA)":[11],"to":[12,24,41,53,58,97],"select":[13],"independent":[14,36],"variable":[15],"for":[16],"model.":[18,44,81],"The":[19],"FRR-GA":[20],"enables":[22],"us":[23],"indicate":[25,33],"the":[26,34,46,59,73,77,86,91,98],"best":[27,35],"coefficient":[28],"values":[29],"among":[30],"regressor":[31],"that":[32],"variable,":[37],"which":[38],"is":[39,51],"important":[40],"build":[42],"Additionally,":[45],"employed":[52],"treat":[54],"dual":[55],"uncertainties":[56],"due":[57],"realization":[60],"of":[61],"such":[62],"data":[63],"in":[64,76],"real":[65],"application.":[66],"presents":[69],"an":[70],"reflecting":[72],"non-linear":[74],"strategy":[75],"A":[82],"numerical":[83],"example":[84],"illustrates":[85],"proposed":[87],"solution":[88],"procedure":[89],"whereby":[90],"result":[92],"suggested":[93],"several":[94],"feasible":[95],"solutions":[96],"user.":[99]},"counts_by_year":[],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}