{"id":"https://openalex.org/W2082279589","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251281","title":"Extracting meta-measures from data for fuzzy aggregation of crowd sourced information","display_name":"Extracting meta-measures from data for fuzzy aggregation of crowd sourced information","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2082279589","doi":"https://doi.org/10.1109/fuzz-ieee.2012.6251281","mag":"2082279589"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2012.6251281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","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/A5070095814","display_name":"Christian Wagner","orcid":"https://orcid.org/0000-0002-6121-9722"},"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":"Christian Wagner","raw_affiliation_strings":["Horizon Digital Economy Institute, School of Computer Science, University of Nottingham, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Horizon Digital Economy Institute, School of Computer Science, University of Nottingham, United Kingdom","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076164452","display_name":"Derek T. Anderson","orcid":"https://orcid.org/0000-0003-4909-029X"},"institutions":[{"id":"https://openalex.org/I99041443","display_name":"Mississippi State University","ror":"https://ror.org/0432jq872","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I99041443"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Derek T. Anderson","raw_affiliation_strings":["Electrical & Computer Engineering Department, Mississippi State University, USA"],"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering Department, Mississippi State University, USA","institution_ids":["https://openalex.org/I99041443"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5070095814"],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":4.8762,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95426748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9652000069618225,"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/computer-science","display_name":"Computer science","score":0.6496810913085938},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5462505221366882},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47003859281539917},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.46581482887268066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3218110501766205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6496810913085938},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5462505221366882},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47003859281539917},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.46581482887268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3218110501766205},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2012.6251281","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2012.6251281","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Fuzzy Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G4434080624","display_name":null,"funder_award_id":"EP/G065802/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W294994052","https://openalex.org/W657067832","https://openalex.org/W1484881229","https://openalex.org/W1999072449","https://openalex.org/W2019155031","https://openalex.org/W2020740057","https://openalex.org/W2031391348","https://openalex.org/W2056223156","https://openalex.org/W2060907774","https://openalex.org/W2075036079","https://openalex.org/W2101206561","https://openalex.org/W2102433694","https://openalex.org/W2116922569","https://openalex.org/W2120090580","https://openalex.org/W2151614844","https://openalex.org/W3043771091","https://openalex.org/W4255427706","https://openalex.org/W4386694893"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2793666424","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"Fuzzy":[0],"measures":[1],"(FMs)":[2],"have":[3],"been":[4],"used":[5],"to":[6,18,30,177,216,238],"model":[7],"the":[8,32,39,44,51,81,97,117,139,154,165,169,194,201,207,210,218,222,239],"(typically":[9,40],"subjective)":[10],"\"worth\"":[11],"of":[12,14,46,61,84,99,110,119,131,142,160,190,196,204,209],"subsets":[13],"information":[15,33,52,115,150],"sources":[16,124],"relative":[17],"a":[19,28,36,47,59,108,111,158,179,214],"decision":[20],"making":[21],"problem.":[22],"The":[23,187],"fuzzy":[24,185],"integral":[25],"(FI)":[26],"is":[27,70,138,193,229],"way":[29],"fuse":[31,217],"encoded":[34],"in":[35,43,96,172,184],"FM":[37],"with":[38,236],"objective)":[41],"confidences":[42],"strength":[45],"hypothesis":[48],"arising":[49],"from":[50,87,153,164,200,220],"sources.":[53,120],"In":[54,102],"prior":[55],"work,":[56],"Yager":[57],"discussed":[58],"set":[60,159],"aggregation":[62],"functions":[63],"for":[64,90,94],"general":[65],"FMs.":[66],"However,":[67],"that":[68],"work":[69,192],"primarily":[71],"focused":[72],"on":[73,234],"theoretical":[74],"exploration":[75],"versus":[76],"application.":[77],"Herein,":[78,226],"we":[79,167,174,232],"investigate":[80],"direct":[82],"extraction":[83,195],"different":[85],"FMs":[86,161,170,198,223],"data,":[88,166],"one":[89,105],"specificity":[91],"and":[92,181,206,213],"another":[93],"agreement,":[95],"context":[98],"crowd":[100,103],"sourcing.":[101],"sourcing,":[104],"often":[106],"has":[107],"lack":[109],"ground":[112],"truth":[113],"or":[114],"regarding":[116],"reliability":[118],"That":[121],"is,":[122],"all":[123],"must":[125],"be":[126],"assumed":[127],"equal":[128],"(in":[129],"terms":[130],"knowledge,":[132],"experience":[133],"level,":[134],"etc.).":[135],"Our":[136],"goal":[137],"intelligent":[140],"fusion":[141,235],"this":[143,191],"data":[144,155,205,219,228],"taking":[145],"into":[146],"account":[147],"as":[148,151,178],"much":[149],"possible":[152],"itself.":[156],"Once":[157],"are":[162],"extracted":[163],"aggregate":[168],"(resulting":[171],"what":[173],"herein":[175],"refer":[176],"meta-measure)":[180],"use":[182,208],"it":[183],"integration.":[186],"novel":[188],"aspect":[189],"multiple":[197],"directly":[199],"original":[202],"pool":[203],"resultant":[211],"meta-measure":[212],"FI":[215],"which":[221],"were":[224],"extracted.":[225],"our":[227],"interval-valued,":[230],"thus":[231],"focus":[233],"respect":[237],"generalized":[240],"interval":[241],"FI.":[242]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}