{"id":"https://openalex.org/W1983498697","doi":"https://doi.org/10.1109/ifsa-nafips.2013.6608513","title":"Aggregating α-planes for Type-2 fuzzy set matching","display_name":"Aggregating α-planes for Type-2 fuzzy set matching","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W1983498697","doi":"https://doi.org/10.1109/ifsa-nafips.2013.6608513","mag":"1983498697"},"language":"en","primary_location":{"id":"doi:10.1109/ifsa-nafips.2013.6608513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-nafips.2013.6608513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)","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/A5078445362","display_name":"Lorenzo Livi","orcid":"https://orcid.org/0000-0001-6384-4743"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Lorenzo Livi","raw_affiliation_strings":["Department of Information Engineering, Electronics, and Telecommunications, SAPIENZA University of Rome, Rome, Italy","[Dept. of Information Engineering, Sapienza University of Rome, Rome, Italy]"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics, and Telecommunications, SAPIENZA University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"[Dept. of Information Engineering, Sapienza University of Rome, Rome, Italy]","institution_ids":["https://openalex.org/I861853513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002795684","display_name":"Hooman Tahayori","orcid":"https://orcid.org/0000-0003-2152-7760"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hooman Tahayori","raw_affiliation_strings":["Department of Computer Science, Ryerson University, Toronto, ONT, Canada","Department of computer science, Ryerson University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Department of computer science, Ryerson University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101846166","display_name":"Alireza Sadeghian","orcid":"https://orcid.org/0000-0002-7889-3772"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alireza Sadeghian","raw_affiliation_strings":["Department of Computer Science, Ryerson University, Toronto, ONT, Canada","Department of computer science, Ryerson University, Toronto, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Ryerson University, Toronto, ONT, Canada","institution_ids":["https://openalex.org/I530967"]},{"raw_affiliation_string":"Department of computer science, Ryerson University, Toronto, ON, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025282612","display_name":"Antonello Rizzi","orcid":null},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonello Rizzi","raw_affiliation_strings":["Department of Information Engineering, Electronics, and Telecommunications, SAPIENZA University of Rome, Rome, Italy","[Dept. of Information Engineering, Sapienza University of Rome, Rome, Italy]"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Electronics, and Telecommunications, SAPIENZA University of Rome, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]},{"raw_affiliation_string":"[Dept. of Information Engineering, Sapienza University of Rome, Rome, Italy]","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078445362"],"corresponding_institution_ids":["https://openalex.org/I861853513"],"apc_list":null,"apc_paid":null,"fwci":2.8854,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.91138008,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2002","issue":null,"first_page":"860","last_page":"865"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9929999709129333,"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":0.9789999723434448,"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/matching","display_name":"Matching (statistics)","score":0.6508632898330688},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.6467592120170593},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5993463397026062},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.583589494228363},{"id":"https://openalex.org/keywords/type","display_name":"Type (biology)","score":0.5478165745735168},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5404847860336304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5190466046333313},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.48500844836235046},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4769669771194458},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.4764833152294159},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43458735942840576},{"id":"https://openalex.org/keywords/fuzzy-classification","display_name":"Fuzzy classification","score":0.42992904782295227},{"id":"https://openalex.org/keywords/fuzzy-set-operations","display_name":"Fuzzy set operations","score":0.41805920004844666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41771355271339417},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41650065779685974},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40202799439430237}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6508632898330688},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.6467592120170593},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5993463397026062},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.583589494228363},{"id":"https://openalex.org/C2777299769","wikidata":"https://www.wikidata.org/wiki/Q3707858","display_name":"Type (biology)","level":2,"score":0.5478165745735168},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5404847860336304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5190466046333313},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.48500844836235046},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4769669771194458},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.4764833152294159},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43458735942840576},{"id":"https://openalex.org/C127385683","wikidata":"https://www.wikidata.org/wiki/Q1475696","display_name":"Fuzzy classification","level":4,"score":0.42992904782295227},{"id":"https://openalex.org/C148671577","wikidata":"https://www.wikidata.org/wiki/Q5511133","display_name":"Fuzzy set operations","level":4,"score":0.41805920004844666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41771355271339417},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41650065779685974},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40202799439430237},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ifsa-nafips.2013.6608513","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifsa-nafips.2013.6608513","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/525782","is_oa":false,"landing_page_url":"http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6608513&queryText%3DAggregating+alpha-planes+for+Type-2+Fuzzy+Set+Matching","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1480643874","https://openalex.org/W1486684451","https://openalex.org/W1947957290","https://openalex.org/W1967058548","https://openalex.org/W1992138932","https://openalex.org/W1997102766","https://openalex.org/W2003627696","https://openalex.org/W2026627598","https://openalex.org/W2027515265","https://openalex.org/W2037351862","https://openalex.org/W2039037639","https://openalex.org/W2058601119","https://openalex.org/W2060829616","https://openalex.org/W2062636054","https://openalex.org/W2063299056","https://openalex.org/W2064809899","https://openalex.org/W2078757499","https://openalex.org/W2079325629","https://openalex.org/W2101599274","https://openalex.org/W2113772493","https://openalex.org/W2128160875","https://openalex.org/W2132885717","https://openalex.org/W2141178894","https://openalex.org/W2152035657","https://openalex.org/W2161771180","https://openalex.org/W2166621107","https://openalex.org/W2186991638","https://openalex.org/W2912033473","https://openalex.org/W3140238874","https://openalex.org/W4244613213","https://openalex.org/W4253407057","https://openalex.org/W6629087447","https://openalex.org/W6643452750","https://openalex.org/W6665796846","https://openalex.org/W6684519947","https://openalex.org/W7048475928","https://openalex.org/W7066305848"],"related_works":["https://openalex.org/W1486684451","https://openalex.org/W2087021805","https://openalex.org/W2166637398","https://openalex.org/W2066929655","https://openalex.org/W4388516489","https://openalex.org/W1487720066","https://openalex.org/W4361984403","https://openalex.org/W2904646179","https://openalex.org/W2148925928","https://openalex.org/W2335465146"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,13,49],"novel":[4],"way":[5],"of":[6,24,35,46,48,68,80,91,96],"matching":[7,53,83],"general":[8,97],"type-2":[9,38,75,98],"fuzzy":[10,39,76,99],"sets":[11,100],"using":[12],"sequence-based":[14],"approach.":[15],"General":[16],"sequences":[17,57],"are":[18,27],"defined":[19,42],"as":[20,43,102],"an":[21,33],"ordered":[22],"list":[23],"objects,":[25],"which":[26],"called":[28],"events.":[29],"In":[30],"our":[31],"contribution,":[32],"event":[34],"the":[36,44,66,69,81,89,108],"sequenced":[37],"set":[40],"is":[41,85,110],"footprint":[45],"uncertainty":[47],"specific":[50],"\u03b1-plane.":[51],"Suited":[52],"algorithms":[54],"for":[55],"generalized":[56],"can":[58],"be":[59],"applied":[60],"to":[61],"this":[62],"new":[63],"interpretation,":[64],"enabling":[65],"computation":[67],"overall":[70],"dissimilarity":[71],"value":[72],"between":[73],"input":[74],"sets.":[77],"The":[78],"evaluation":[79],"proposed":[82],"method":[84],"carried":[86],"out":[87],"in":[88],"setting":[90],"classification,":[92],"by":[93],"defining":[94],"datasets":[95],"conceived":[101],"labeled":[103],"patterns.":[104],"Results":[105],"show":[106],"that":[107],"methodology":[109],"robust,":[111],"accurate,":[112],"and":[113],"computationally":[114],"acceptable.":[115]},"counts_by_year":[{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}