{"id":"https://openalex.org/W1986765720","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891817","title":"Exploring statistical attributes obtained from fuzzy agreement models","display_name":"Exploring statistical attributes obtained from fuzzy agreement models","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W1986765720","doi":"https://doi.org/10.1109/fuzz-ieee.2014.6891817","mag":"1986765720"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2014.6891817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109154292","display_name":"Simon Miller","orcid":null},"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":"Simon Miller","raw_affiliation_strings":["Intelligent Modelling and Analysis Group, University of Nottingham, Nottingham, UK","Intelligent Modelling and Analysis Group / Horizon Digital Economy Research School of Computer Science, University of Nottingham, Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Modelling and Analysis Group, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"Intelligent Modelling and Analysis Group / Horizon Digital Economy Research School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"middle","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":false,"raw_author_name":"Christian Wagner","raw_affiliation_strings":["Intelligent Modelling and Analysis Group, University of Nottingham, Nottingham, UK","Intelligent Modelling and Analysis Group / Horizon Digital Economy Research School of Computer Science, University of Nottingham, Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Modelling and Analysis Group, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"Intelligent Modelling and Analysis Group / Horizon Digital Economy Research School of Computer Science, 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":["Intelligent Modelling and Analysis Group, University of Nottingham, Nottingham, UK","Intelligent Modelling and Analysis Group / Horizon Digital Economy Research School of Computer Science, University of Nottingham, Nottingham, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Modelling and Analysis Group, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]},{"raw_affiliation_string":"Intelligent Modelling and Analysis Group / Horizon Digital Economy Research School of Computer Science, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I142263535"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"792","last_page":"799"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9979000091552734,"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"}},"topics":[{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9979000091552734,"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":0.9932000041007996,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/fuzzy-set","display_name":"Fuzzy set","score":0.6852400302886963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6852227449417114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6850941777229309},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6590964198112488},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.6220813989639282},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6072558760643005},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5738808512687683},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5406548380851746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4809795618057251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4613741636276245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21110251545906067}],"concepts":[{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.6852400302886963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6852227449417114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6850941777229309},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6590964198112488},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.6220813989639282},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6072558760643005},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5738808512687683},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5406548380851746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4809795618057251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4613741636276245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21110251545906067},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2014.6891817","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2014.6891817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2042168080","https://openalex.org/W2045260557","https://openalex.org/W2053154970","https://openalex.org/W2055525259","https://openalex.org/W2078083902","https://openalex.org/W2078483536","https://openalex.org/W2080969612","https://openalex.org/W2141403362","https://openalex.org/W2152440194","https://openalex.org/W2165094119","https://openalex.org/W4239181501","https://openalex.org/W4247749894","https://openalex.org/W4292935320"],"related_works":["https://openalex.org/W4252510819","https://openalex.org/W3012838233","https://openalex.org/W3086618278","https://openalex.org/W2363876787","https://openalex.org/W2605106030","https://openalex.org/W2006100586","https://openalex.org/W4300809132","https://openalex.org/W4388053854","https://openalex.org/W2103373899","https://openalex.org/W2393109664"],"abstract_inverted_index":{"In":[0,56],"this":[1,93,214],"paper":[2],"we":[3,66],"explore":[4,59],"the":[5,22,26,37,53,82,158,162,188,191,196,202],"characteristics":[6],"of":[7,21,47,52,72,76,100,103,123,126,195],"Type-1":[8,32,163],"Fuzzy":[9,33,164],"Set":[10,34,165],"agreement":[11,54,166],"models":[12,24,35,167],"based":[13],"on":[14,213],"interval":[15],"data":[16,28,88,97,120],"through":[17],"contrasting":[18],"statistical":[19,74],"measures":[20,75],"fuzzy":[23],"and":[25,41,117,157,208],"raw":[27,83],"respectively.":[29],"We":[30,146],"create":[31],"using":[36],"Interval":[38],"Agreement":[39],"Approach,":[40],"then":[42],"extract":[43],"a":[44,70,95,114,118,138],"preliminary":[45],"set":[46,71,98,121],"attributes":[48,62,159,172,183],"that":[49,134,148,173,181,204],"encapsulate":[50],"aspects":[51],"models.":[55],"order":[57],"to":[58,81,112,177],"what":[60],"these":[61,182],"can":[63,205],"tell":[64],"us,":[65],"compare":[67],"them":[68],"with":[69,201],"traditional":[73,155],"consensus":[77,189],"which":[78,109,154],"are":[79,90,151,170],"applied":[80],"data.":[84],"Two":[85],"interval-valued":[86],"survey":[87],"sets":[89],"employed":[91],"in":[92,153],"study,":[94],"synthetic":[96],"consisting":[99,122],"30":[101],"groups":[102,125],"10":[104],"experts":[105,129],"rating":[106,130],"25":[107],"objects":[108],"is":[110,198],"used":[111],"provide":[113],"large":[115],"example,":[116],"real-world":[119],"7":[124],"4-8":[127],"cyber-security":[128],"26":[131],"security":[132],"components":[133],"was":[135],"collected":[136],"during":[137],"decision":[139],"making":[140],"exercise":[141],"at":[142],"GCHQ,":[143],"Cheltenham,":[144],"UK.":[145],"show":[147],"while":[149],"there":[150,169],"areas":[152],"methods":[156],"extracted":[160],"from":[161],"overlap,":[168],"also":[171],"do":[174],"not":[175],"appear":[176],"be":[178,206],"replicated,":[179],"suggesting":[180],"contain":[184],"additional":[185],"information":[186],"about":[187],"within":[190],"groups.":[192],"A":[193],"discussion":[194],"results":[197],"provided,":[199],"along":[200],"conclusions":[203],"drawn":[207],"considerations":[209],"for":[210],"future":[211],"work":[212],"subject.":[215]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
