{"id":"https://openalex.org/W2746378176","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015575","title":"A new dynamic approach for non-singleton fuzzification in noisy time-series prediction","display_name":"A new dynamic approach for non-singleton fuzzification in noisy time-series prediction","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2746378176","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015575","mag":"2746378176"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://eprints.nottingham.ac.uk/45209/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045353652","display_name":"Amir Pourabdollah","orcid":"https://orcid.org/0000-0001-7737-1393"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Amir Pourabdollah","raw_affiliation_strings":["Lab for Uncertainty in Data and Decision Making (LUCID), University of Nottingham, Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"Lab for Uncertainty in Data and Decision Making (LUCID), University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091177679","display_name":"Robert John","orcid":"https://orcid.org/0000-0002-2341-9993"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Robert John","raw_affiliation_strings":["Lab for Uncertainty in Data and Decision Making (LUCID), University of Nottingham, Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"Lab for Uncertainty in Data and Decision Making (LUCID), University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040516036","display_name":"Jonathan M. Garibaldi","orcid":"https://orcid.org/0000-0002-9690-7074"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jonathan M. Garibaldi","raw_affiliation_strings":["Lab for Uncertainty in Data and Decision Making (LUCID), University of Nottingham, Nottingham, UK"],"affiliations":[{"raw_affiliation_string":"Lab for Uncertainty in Data and Decision Making (LUCID), University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045353652"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":1.6628,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88192488,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9976999759674072,"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"}},{"id":"https://openalex.org/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/singleton","display_name":"Singleton","score":0.7842440605163574},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.7157033085823059},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6291065812110901},{"id":"https://openalex.org/keywords/membership-function","display_name":"Membership function","score":0.5843740105628967},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5152809619903564},{"id":"https://openalex.org/keywords/defuzzification","display_name":"Defuzzification","score":0.5017430782318115},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5003809928894043},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4862731695175171},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44982782006263733},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43939071893692017},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4388246536254883},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.414200097322464},{"id":"https://openalex.org/keywords/fuzzy-number","display_name":"Fuzzy number","score":0.3982434868812561},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3896683156490326},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3542988896369934},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19057098031044006}],"concepts":[{"id":"https://openalex.org/C117354338","wikidata":"https://www.wikidata.org/wiki/Q1165112","display_name":"Singleton","level":3,"score":0.7842440605163574},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.7157033085823059},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6291065812110901},{"id":"https://openalex.org/C5263885","wikidata":"https://www.wikidata.org/wiki/Q1967302","display_name":"Membership function","level":4,"score":0.5843740105628967},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5152809619903564},{"id":"https://openalex.org/C170260401","wikidata":"https://www.wikidata.org/wiki/Q5251735","display_name":"Defuzzification","level":5,"score":0.5017430782318115},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5003809928894043},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4862731695175171},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44982782006263733},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43939071893692017},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4388246536254883},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.414200097322464},{"id":"https://openalex.org/C1883856","wikidata":"https://www.wikidata.org/wiki/Q3407463","display_name":"Fuzzy number","level":4,"score":0.3982434868812561},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3896683156490326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3542988896369934},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19057098031044006},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:irep.ntu.ac.uk:33210","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400559","display_name":"Nottingham Trent University's Institutional Repository (Nottingham Trent Repository)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I52590639","host_organization_name":"Nottingham Trent University","host_organization_lineage":["https://openalex.org/I52590639"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Book Section"},{"id":"pmh:oai:eprints.nottingham.ac.uk:45209","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/45209/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402013","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},{"id":"pmh:oai:nottingham-repository.worktribe.com:878836","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/878836","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:eprints.nottingham.ac.uk:45209","is_oa":true,"landing_page_url":"http://eprints.nottingham.ac.uk/45209/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402013","display_name":"Nottingham ePrints (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G389932634","display_name":null,"funder_award_id":"MR/N005953/1","funder_id":"https://openalex.org/F4320334626","funder_display_name":"Medical Research Council"}],"funders":[{"id":"https://openalex.org/F4320334626","display_name":"Medical Research Council","ror":"https://ror.org/03x94j517"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W28576920","https://openalex.org/W118754115","https://openalex.org/W1611252085","https://openalex.org/W1955348392","https://openalex.org/W1992176519","https://openalex.org/W2006093877","https://openalex.org/W2019207321","https://openalex.org/W2036984693","https://openalex.org/W2050288270","https://openalex.org/W2057694691","https://openalex.org/W2067521002","https://openalex.org/W2094631910","https://openalex.org/W2096403732","https://openalex.org/W2099044018","https://openalex.org/W2106720714","https://openalex.org/W2107934763","https://openalex.org/W2134736145","https://openalex.org/W2141394518","https://openalex.org/W2142592802","https://openalex.org/W2148248432","https://openalex.org/W2148594866","https://openalex.org/W2171527822","https://openalex.org/W2226237147","https://openalex.org/W2343528125","https://openalex.org/W2414376918","https://openalex.org/W2487186204","https://openalex.org/W2552888911","https://openalex.org/W2912565176","https://openalex.org/W4211007335","https://openalex.org/W4249749961","https://openalex.org/W6604754185","https://openalex.org/W6715968463"],"related_works":["https://openalex.org/W2184441312","https://openalex.org/W4388451300","https://openalex.org/W4242970302","https://openalex.org/W2571050636","https://openalex.org/W2060361571","https://openalex.org/W1975005191","https://openalex.org/W4361984403","https://openalex.org/W2674573885","https://openalex.org/W3207735076","https://openalex.org/W2781808531"],"abstract_inverted_index":{"Non-singleton":[0],"fuzzification":[1,20,53],"is":[2,22,28,66,76,109,131],"used":[3],"to":[4,31,94,115],"model":[5],"uncertain":[6],"(e.g.":[7],"noisy)":[8],"inputs":[9],"within":[10],"fuzzy":[11,38,64,100],"logic":[12],"systems.":[13],"In":[14],"the":[15,19,24,33,36,42,59,71,84,98,106,116,129],"standard":[16],"approach,":[17],"assuming":[18],"type":[21],"known,":[23],"observed":[25,72],"[noisy]":[26],"input":[27,37,63,99,130],"usually":[29,40],"considered":[30],"be":[32,103],"core":[34,60],"of":[35,44,61],"set,":[39],"being":[41],"centre":[43],"its":[45],"membership":[46],"function.":[47],"This":[48],"paper":[49],"proposes":[50],"a":[51,88],"new":[52],"method":[54,114],"(not":[55],"type),":[56],"in":[57],"which":[58],"an":[62],"set":[65,101],"not":[67,110],"necessarily":[68],"located":[69],"at":[70],"input,":[73],"rather":[74],"it":[75],"dynamically":[77],"adjusted":[78],"based":[79],"on":[80],"statistical":[81],"methods.":[82],"Using":[83],"weighted":[85],"moving":[86],"average,":[87],"few":[89],"past":[90],"samples":[91],"are":[92],"aggregated":[93],"roughly":[95],"estimate":[96],"where":[97],"should":[102],"located.":[104],"While":[105],"added":[107],"complexity":[108],"huge,":[111],"applying":[112],"this":[113],"well-known":[117],"Mackey-Glass":[118],"and":[119],"Lorenz":[120],"time-series":[121],"prediction":[122],"problems,":[123],"show":[124],"significant":[125],"error":[126],"reduction":[127],"when":[128],"corrupted":[132],"by":[133],"different":[134],"noise":[135],"levels.":[136]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
