{"id":"https://openalex.org/W2979371850","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858938","title":"Sampling Using Fuzzy and Crisp Clustering to Improve Recall of Building Comfort Feedback","display_name":"Sampling Using Fuzzy and Crisp Clustering to Improve Recall of Building Comfort Feedback","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2979371850","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858938","mag":"2979371850"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8858938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858938","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/A5072089515","display_name":"Ross MacDonald","orcid":null},"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":"Ross MacDonald","raw_affiliation_strings":["Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, Nova Scotia, Canada","Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, Nova Scotia, Canada","institution_ids":["https://openalex.org/I66890659"]},{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia, Canada","institution_ids":["https://openalex.org/I66890659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036817773","display_name":"Nikita Neveditsin","orcid":"https://orcid.org/0009-0000-9859-3905"},"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":false,"raw_author_name":"Nikita Neveditsin","raw_affiliation_strings":["Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, Nova Scotia, Canada","Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, Nova Scotia, Canada","institution_ids":["https://openalex.org/I66890659"]},{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia, Canada","institution_ids":["https://openalex.org/I66890659"]}]},{"author_position":"middle","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":false,"raw_author_name":"Pawan Lingras","raw_affiliation_strings":["Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, Nova Scotia, Canada","Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary\u2019s University, Halifax, Nova Scotia, Canada","institution_ids":["https://openalex.org/I66890659"]},{"raw_affiliation_string":"Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Nova Scotia, Canada","institution_ids":["https://openalex.org/I66890659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460210","display_name":"Zheng Qin","orcid":"https://orcid.org/0000-0002-7090-7869"},"institutions":[{"id":"https://openalex.org/I4210139002","display_name":"Powertech Labs (Canada)","ror":"https://ror.org/045ygyt79","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210139002"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zheng Qin","raw_affiliation_strings":["Green Power Labs Inc., Dartmouth, Nova Scotia, Canada"],"affiliations":[{"raw_affiliation_string":"Green Power Labs Inc., Dartmouth, Nova Scotia, Canada","institution_ids":["https://openalex.org/I4210139002"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060885022","display_name":"Trent Hillard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210139002","display_name":"Powertech Labs (Canada)","ror":"https://ror.org/045ygyt79","country_code":"CA","type":"company","lineage":["https://openalex.org/I4210139002"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Trent Hillard","raw_affiliation_strings":["Green Power Labs Inc., Dartmouth, Nova Scotia, Canada"],"affiliations":[{"raw_affiliation_string":"Green Power Labs Inc., Dartmouth, Nova Scotia, Canada","institution_ids":["https://openalex.org/I4210139002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072089515"],"corresponding_institution_ids":["https://openalex.org/I66890659"],"apc_list":null,"apc_paid":null,"fwci":0.28,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.66205942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9690999984741211,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9690999984741211,"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/T12384","display_name":"Customer churn and segmentation","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9546999931335449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6955147981643677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6706992387771606},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6372812390327454},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5735788345336914},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.49950218200683594},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.46752122044563293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46010103821754456},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.445995569229126},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42991429567337036},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.41332754492759705},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3900914192199707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17030969262123108},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11947396397590637},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.08697149157524109}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6955147981643677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6706992387771606},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6372812390327454},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5735788345336914},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.49950218200683594},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.46752122044563293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46010103821754456},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.445995569229126},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42991429567337036},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.41332754492759705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3900914192199707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17030969262123108},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11947396397590637},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.08697149157524109},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8858938","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858938","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":0.8999999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W429766147","https://openalex.org/W1968420163","https://openalex.org/W1977556410","https://openalex.org/W1990368529","https://openalex.org/W2043793719","https://openalex.org/W2067594023","https://openalex.org/W2113076747","https://openalex.org/W2127218421","https://openalex.org/W4285719527","https://openalex.org/W6631263138","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2945382830","https://openalex.org/W4224807364","https://openalex.org/W2596632494","https://openalex.org/W2535986621","https://openalex.org/W1980197432","https://openalex.org/W2382432689","https://openalex.org/W2000612978","https://openalex.org/W4388110928","https://openalex.org/W1483228865","https://openalex.org/W4292434959"],"abstract_inverted_index":{"The":[0,42,53,77,89],"primary":[1],"objective":[2],"of":[3,14,44,79,91,99],"a":[4,22,27,50],"building":[5],"energy":[6],"management":[7],"system":[8,25],"is":[9,71,83,94],"to":[10,64,95],"ensure":[11],"the":[12,66,75,80,92,97],"comfort":[13],"its":[15],"occupants.":[16],"This":[17],"paper":[18,54],"reports":[19],"experiments":[20],"with":[21,85],"user":[23],"feedback":[24,45,73,100],"for":[26],"central":[28],"temperature":[29],"controlled":[30],"building.":[31],"Individual":[32],"room":[33],"temperatures":[34],"are":[35,47],"further":[36],"adjusted":[37],"based":[38],"on":[39],"occupant":[40],"feedback.":[41],"number":[43],"points":[46,68],"limited":[48],"creating":[49],"data":[51,67],"imbalance.":[52],"describes":[55],"how":[56],"crisp":[57],"and":[58],"fuzzy":[59],"clustering":[60],"can":[61],"be":[62],"used":[63],"sample":[65],"when":[69],"there":[70],"no":[72],"from":[74],"users.":[76],"results":[78],"proposed":[81],"sampling":[82,87],"compared":[84],"other":[86],"strategies.":[88],"goal":[90],"research":[93],"maximize":[96],"recall":[98],"through":[101],"machine":[102],"learning.":[103]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}