{"id":"https://openalex.org/W7152599503","doi":"https://doi.org/10.1109/icecet63943.2025.11472380","title":"Dataset generation for training the Neuro Fuzzy Inference System in a Multicriteria Decision Model for Wireless Sensor Networks","display_name":"Dataset generation for training the Neuro Fuzzy Inference System in a Multicriteria Decision Model for Wireless Sensor Networks","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W7152599503","doi":"https://doi.org/10.1109/icecet63943.2025.11472380"},"language":null,"primary_location":{"id":"doi:10.1109/icecet63943.2025.11472380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5102302438","display_name":"Martha Torres","orcid":null},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Martha Torres","raw_affiliation_strings":["University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074135892","display_name":"Virgilio Gonz\u00e1lez","orcid":"https://orcid.org/0000-0003-1042-4811"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Virgilio Gonzalez","raw_affiliation_strings":["University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,USA","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011227283","display_name":"Kevin J. Valdez","orcid":null},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Valdez","raw_affiliation_strings":["University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,USA"],"affiliations":[{"raw_affiliation_string":"University of Texas at El Paso,Department of Electrical and Computer Engineering,El Paso,USA","institution_ids":["https://openalex.org/I164936912"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102302438"],"corresponding_institution_ids":["https://openalex.org/I164936912"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87268307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"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":0.07519999891519547,"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":0.07519999891519547,"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.05779999867081642,"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"}},{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.04769999906420708,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6161999702453613},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.5537999868392944},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.43630000948905945},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4214000105857849},{"id":"https://openalex.org/keywords/fuzzy-inference","display_name":"Fuzzy inference","score":0.41940000653266907},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4187000095844269},{"id":"https://openalex.org/keywords/adaptive-neuro-fuzzy-inference-system","display_name":"Adaptive neuro fuzzy inference system","score":0.4138999879360199},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4025999903678894}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6401000022888184},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6161999702453613},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.5537999868392944},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5386000275611877},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.43630000948905945},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4309000074863434},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4214000105857849},{"id":"https://openalex.org/C2986395286","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference","level":5,"score":0.41940000653266907},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4187000095844269},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.4138999879360199},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.39660000801086426},{"id":"https://openalex.org/C2988105877","wikidata":"https://www.wikidata.org/wiki/Q1341685","display_name":"Inference system","level":5,"score":0.3573000133037567},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3521000146865845},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35199999809265137},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.34049999713897705},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C2987376176","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy inference system","level":5,"score":0.31709998846054077},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.3073999881744385},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C107645828","wikidata":"https://www.wikidata.org/wiki/Q12070446","display_name":"System model","level":2,"score":0.26660001277923584},{"id":"https://openalex.org/C2986909951","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision system","level":2,"score":0.2639000117778778},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet63943.2025.11472380","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472380","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4098849892616272,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2034960640","https://openalex.org/W2214791157","https://openalex.org/W3185840402","https://openalex.org/W4317911180","https://openalex.org/W4394788625","https://openalex.org/W4403487593","https://openalex.org/W4405590126"],"related_works":[],"abstract_inverted_index":{"Given":[0],"the":[1,22,56,69,102,116,124,131],"complexity":[2],"and":[3,44,50,64,72,87,130],"diversity":[4],"of":[5,111,127],"options":[6],"available":[7],"for":[8,20],"technical":[9,48],"decision-making,":[10],"a":[11,77,108],"multicriteria":[12,128],"decision-making":[13,31,70,114],"methodology":[14,79],"(MCDM)":[15],"is":[16],"an":[17],"effective":[18],"approach":[19],"identifying":[21],"optimal":[23],"technology":[24],"in":[25],"Wireless":[26],"Sensor":[27],"Networks":[28],"(WSNs).":[29],"Current":[30],"processes":[32],"primarily":[33],"rely":[34],"on":[35],"qualitative":[36,86],"assessments,":[37],"which":[38],"are":[39],"influenced":[40],"by":[41],"client":[42],"requirements":[43],"expert":[45],"recommendations.":[46],"However,":[47],"challenges":[49],"additional":[51],"procedures":[52],"may":[53],"arise":[54],"during":[55],"implementation":[57],"phase,":[58],"leading":[59],"to":[60,122],"increased":[61],"installation":[62],"costs":[63],"operational":[65],"expenses.":[66],"To":[67],"improve":[68],"framework":[71],"address":[73],"potential":[74],"future":[75],"issues,":[76],"novel":[78],"has":[80],"been":[81],"developed":[82],"that":[83],"integrates":[84],"both":[85],"quantitative":[88],"parameters":[89],"derived":[90],"from":[91],"real-world":[92],"scenarios":[93],"with":[94],"Neuro-Fuzzy":[95],"Inference":[96],"System":[97],"(NFIS)":[98],"theory,":[99],"specifically":[100],"utilizing":[101],"Mamdani":[103],"approach.":[104],"This":[105],"paper":[106],"presents":[107],"brief":[109],"description":[110],"this":[112],"innovative":[113],"framework,":[115],"associated":[117],"data":[118],"generation":[119],"process":[120],"designed":[121],"facilitate":[123],"training":[125],"phase":[126],"optimization":[129],"inference":[132],"system.":[133]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-10T00:00:00"}