{"id":"https://openalex.org/W2977314717","doi":"https://doi.org/10.5220/0008068403090316","title":"A Novel Method for Evaluating Records from a Dataset using Interval Type-2 Fuzzy Sets","display_name":"A Novel Method for Evaluating Records from a Dataset using Interval Type-2 Fuzzy Sets","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2977314717","doi":"https://doi.org/10.5220/0008068403090316","mag":"2977314717"},"language":"en","primary_location":{"id":"doi:10.5220/0008068403090316","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008068403090316","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0008068403090316","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075103590","display_name":"Miljan Vu\u010deti\u0107","orcid":"https://orcid.org/0000-0002-4362-6201"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miljan Vu\u010deti\u0107","raw_affiliation_strings":["Vlatacom Institute of High Technologies, 5 Milutina Milankovi\u0107a Blvd, Belgrade and Serbia, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vlatacom Institute of High Technologies, 5 Milutina Milankovi\u0107a Blvd, Belgrade and Serbia, --- Select a Country ---","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029092590","display_name":"Aleksej Makarov","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aleksej Makarov","raw_affiliation_strings":["Vlatacom Institute of High Technologies, 5 Milutina Milankovi\u0107a Blvd, Belgrade and Serbia, --- Select a Country ---"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vlatacom Institute of High Technologies, 5 Milutina Milankovi\u0107a Blvd, Belgrade and Serbia, --- Select a Country ---","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.142162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"309","last_page":"316"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9955999851226807,"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":0.9955999851226807,"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":0.995199978351593,"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/T11106","display_name":"Data Management and Algorithms","score":0.9865000247955322,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/categorical-variable","display_name":"Categorical variable","score":0.8350925445556641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7255246043205261},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6960141658782959},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6857854723930359},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.6376827955245972},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.6313139796257019},{"id":"https://openalex.org/keywords/fuzzy-set","display_name":"Fuzzy set","score":0.6288444399833679},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5468459129333496},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5243525505065918},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4272223711013794},{"id":"https://openalex.org/keywords/data-type","display_name":"Data type","score":0.42376354336738586},{"id":"https://openalex.org/keywords/uncertain-data","display_name":"Uncertain data","score":0.4101422131061554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3430117666721344},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33849042654037476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21162328124046326}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.8350925445556641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7255246043205261},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6960141658782959},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6857854723930359},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6376827955245972},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.6313139796257019},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.6288444399833679},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5468459129333496},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5243525505065918},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4272223711013794},{"id":"https://openalex.org/C138958017","wikidata":"https://www.wikidata.org/wiki/Q190087","display_name":"Data type","level":2,"score":0.42376354336738586},{"id":"https://openalex.org/C2778865114","wikidata":"https://www.wikidata.org/wiki/Q7882489","display_name":"Uncertain data","level":2,"score":0.4101422131061554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3430117666721344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33849042654037476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21162328124046326},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0008068403090316","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008068403090316","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0008068403090316","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0008068403090316","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th International Joint Conference on Computational Intelligence","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386799044","https://openalex.org/W2773208253","https://openalex.org/W2560646951","https://openalex.org/W4297454206","https://openalex.org/W65104662","https://openalex.org/W1871748041","https://openalex.org/W2362286668","https://openalex.org/W2166938872","https://openalex.org/W4245750691","https://openalex.org/W2378724343"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"describe":[4],"a":[5,24,41,82,88,139],"method":[6],"for":[7],"evaluating":[8],"suitable":[9,161],"records":[10,22,162],"from":[11,23,164],"heterogeneous":[12],"datasets":[13],"based":[14,141],"on":[15,142],"interval":[16],"type-2":[17],"fuzzy":[18,31,103,130],"sets":[19],"(IT2FSs).":[20],"Retrieving":[21],"dataset":[25],"including":[26],"numerical,":[27],"categorical,":[28],"binary":[29],"and":[30,59,84,153],"data":[32,55,100,152,172],"in":[33,56,72,108,111,151],"accordance":[34],"with":[35,51,98,132,168],"diverse":[36],"user\u2019s":[37,60],"preferences":[38,61,96],"is":[39,47,79,118,173],"still":[40],"challenging":[42],"task.":[43],"The":[44,166],"main":[45],"challenge":[46],"how":[48],"to":[49,126,147],"deal":[50],"heterogeneity":[52,110],"present":[53],"when":[54,67,120],"attribute":[57,77],"values":[58,124],"are":[62,145],"different":[63,92,99],"by":[64],"nature,":[65],"e.g.":[66],"users":[68],"explain":[69],"their":[70],"interests":[71,93],"linguistic":[73],"term(s),":[74],"whereas":[75],"the":[76,133,158],"value":[78],"stored":[80],"as":[81],"number":[83],"vice":[85],"versa.":[86],"Furthermore,":[87],"user":[89],"may":[90],"have":[91],"among":[94],"desired":[95],"expressed":[97],"types.":[101],"Using":[102],"theory":[104],"can":[105],"effectively":[106],"help":[107],"handling":[109],"building":[112],"robust":[113],"query":[114],"engines.":[115],"This":[116],"efficacy":[117],"mitigated":[119],"two":[121],"or":[122],"more":[123],"belong":[125],"an":[127],"ordinary":[128],"(type-1)":[129],"set":[131],"same":[134],"membership":[135],"degree.":[136],"We":[137],"propose":[138],"solution":[140],"IT2FSs,":[143],"which":[144],"capable":[146],"better":[148],"represent":[149],"uncertainty":[150],"preferences.":[154],"It":[155],"efficiently":[156],"improves":[157],"ranking":[159],"of":[160,170],"retrieved":[163],"datasets.":[165],"connection":[167],"aggregation":[169],"interval-valued":[171],"also":[174],"discussed.":[175]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}