{"id":"https://openalex.org/W2980306437","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858944","title":"Exploring Type-2 Fuzzy Logic with Dynamic Rules in IoT Resources Classification","display_name":"Exploring Type-2 Fuzzy Logic with Dynamic Rules in IoT Resources Classification","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2980306437","doi":"https://doi.org/10.1109/fuzz-ieee.2019.8858944","mag":"2980306437"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2019.8858944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858944","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/A5078090331","display_name":"Amanda Argou","orcid":null},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Amanda Argou","raw_affiliation_strings":["Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026852132","display_name":"Renato Dilli","orcid":"https://orcid.org/0000-0003-4064-3230"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renato Dilli","raw_affiliation_strings":["Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044019379","display_name":"Renata Reiser","orcid":"https://orcid.org/0000-0001-9934-3115"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Renata Reiser","raw_affiliation_strings":["Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil","institution_ids":["https://openalex.org/I169248161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081639170","display_name":"Adenauer Yamin","orcid":"https://orcid.org/0000-0002-7333-244X"},"institutions":[{"id":"https://openalex.org/I169248161","display_name":"Universidade Federal de Pelotas","ror":"https://ror.org/05msy9z54","country_code":"BR","type":"education","lineage":["https://openalex.org/I169248161"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Adenauer Yamin","raw_affiliation_strings":["Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory of Ubiquitous and Parallel Systems, Federal University of Pelotas, Pelotas, Brazil","institution_ids":["https://openalex.org/I169248161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I169248161"],"apc_list":null,"apc_paid":null,"fwci":0.4339,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72571249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9898999929428101,"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":0.9898999929428101,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.9876999855041504,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9865000247955322,"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/computer-science","display_name":"Computer science","score":0.7308477759361267},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.7082318663597107},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6157954335212708},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5974305868148804},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.5917260050773621},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5553501844406128},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.4703616797924042},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.4254467189311981},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3988876938819885},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34084829688072205},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.18354591727256775},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1425008475780487}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7308477759361267},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.7082318663597107},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6157954335212708},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5974305868148804},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.5917260050773621},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5553501844406128},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.4703616797924042},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.4254467189311981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3988876938819885},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34084829688072205},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18354591727256775},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1425008475780487},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2019.8858944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2019.8858944","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":[{"display_name":"Industry, innovation and infrastructure","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1545067530","https://openalex.org/W1879636860","https://openalex.org/W1971889990","https://openalex.org/W1983658296","https://openalex.org/W2019445223","https://openalex.org/W2026829949","https://openalex.org/W2031176346","https://openalex.org/W2157041604","https://openalex.org/W2160494060","https://openalex.org/W2184793228","https://openalex.org/W2311658928","https://openalex.org/W2437260897","https://openalex.org/W2772292941","https://openalex.org/W2810197705","https://openalex.org/W4245152641","https://openalex.org/W6639200106","https://openalex.org/W7030469474"],"related_works":["https://openalex.org/W4245926026","https://openalex.org/W4311097251","https://openalex.org/W2586548817","https://openalex.org/W2625093826","https://openalex.org/W2950174689","https://openalex.org/W4200598720","https://openalex.org/W2921026492","https://openalex.org/W4247463117","https://openalex.org/W4361251261","https://openalex.org/W3031181660"],"abstract_inverted_index":{"The":[0,48,69],"increasing":[1],"offer":[2],"of":[3,19,39,46,56,64,75,87],"Internet-connected":[4],"resources,":[5],"providing":[6],"more":[7],"than":[8],"one":[9],"service,":[10],"confers":[11],"complexity":[12],"to":[13,22,32,93],"the":[14,37,65,73,76,85,88,94,98],"classification":[15,38,74],"procedures":[16],"and":[17,60,81],"selection":[18,86],"adequate":[20],"resources":[21,40,91],"meet":[23],"customer":[24],"demands.":[25],"In":[26],"this":[27,29],"context,":[28],"article":[30],"aims":[31],"present":[33],"a":[34],"proposal":[35,49],"for":[36],"in":[41,72],"IoT,":[42],"considering":[43],"non-functional":[44],"parameters":[45],"QoS.":[47],"explores":[50],"two":[51],"complementary":[52],"approaches:":[53],"(i)":[54],"use":[55],"type-2":[57],"fuzzy":[58,66],"logic;":[59],"(ii)":[61],"dynamic":[62],"adequacy":[63],"rules":[67],"employed.":[68],"results":[70],"obtained":[71],"QWS":[77],"dataset":[78],"are":[79,82],"presented":[80],"satisfactory,":[83],"adjusting":[84],"most":[89],"relevant":[90],"according":[92],"preferences":[95],"specified":[96],"by":[97],"client.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}