{"id":"https://openalex.org/W2551166152","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737871","title":"Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks","display_name":"Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks","publication_year":2016,"publication_date":"2016-07-01","ids":{"openalex":"https://openalex.org/W2551166152","doi":"https://doi.org/10.1109/fuzz-ieee.2016.7737871","mag":"2551166152"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2016.7737871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5037965915","display_name":"Elpiniki I. Papageorgiou","orcid":"https://orcid.org/0000-0003-2498-9661"},"institutions":[{"id":"https://openalex.org/I179161674","display_name":"Technological Educational Institute of Central Greece","ror":"https://ror.org/03ed9w591","country_code":"GR","type":"education","lineage":["https://openalex.org/I179161674"]},{"id":"https://openalex.org/I878454856","display_name":"Hasselt University","ror":"https://ror.org/04nbhqj75","country_code":"BE","type":"education","lineage":["https://openalex.org/I878454856"]}],"countries":["BE","GR"],"is_corresponding":true,"raw_author_name":"Elpiniki I. Papageorgiou","raw_affiliation_strings":["Business Administration, Hasselt University, Belgium","Department of Computer Engineering, Technological Educational Institute (T.E.I.) of Central Greece, Lamia, Greece"],"affiliations":[{"raw_affiliation_string":"Business Administration, Hasselt University, Belgium","institution_ids":["https://openalex.org/I878454856"]},{"raw_affiliation_string":"Department of Computer Engineering, Technological Educational Institute (T.E.I.) of Central Greece, Lamia, Greece","institution_ids":["https://openalex.org/I179161674"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056178652","display_name":"Katarzyna Pocz\u0119ta","orcid":"https://orcid.org/0000-0002-1446-491X"},"institutions":[{"id":"https://openalex.org/I169109204","display_name":"Kielce University of Technology","ror":"https://ror.org/01zywja13","country_code":"PL","type":"education","lineage":["https://openalex.org/I169109204"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Katarzyna Poczeta","raw_affiliation_strings":["Department of Information Systems, Kielce University of Technology, Kielce, Poland"],"affiliations":[{"raw_affiliation_string":"Department of Information Systems, Kielce University of Technology, Kielce, Poland","institution_ids":["https://openalex.org/I169109204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007902179","display_name":"Chrysi Laspidou","orcid":"https://orcid.org/0000-0001-5225-4844"},"institutions":[{"id":"https://openalex.org/I145722265","display_name":"University of Thessaly","ror":"https://ror.org/04v4g9h31","country_code":"GR","type":"education","lineage":["https://openalex.org/I145722265"]},{"id":"https://openalex.org/I4210093649","display_name":"Information Technologies Institute","ror":"https://ror.org/0069akp70","country_code":"GR","type":"nonprofit","lineage":["https://openalex.org/I4210093649"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Chrysi Laspidou","raw_affiliation_strings":["Department of Civil Engineering, University of Thessaly, Greece","Information Technologies Institute, Center for Research and Technology Hellas, Thermi, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, University of Thessaly, Greece","institution_ids":["https://openalex.org/I145722265"]},{"raw_affiliation_string":"Information Technologies Institute, Center for Research and Technology Hellas, Thermi, Greece","institution_ids":["https://openalex.org/I4210093649"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037965915"],"corresponding_institution_ids":["https://openalex.org/I179161674","https://openalex.org/I878454856"],"apc_list":null,"apc_paid":null,"fwci":4.4436,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95181859,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1523","last_page":"1530"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12805","display_name":"Cognitive Science and Mapping","score":0.9991999864578247,"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/T12805","display_name":"Cognitive Science and Mapping","score":0.9991999864578247,"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":0.9538999795913696,"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/T11276","display_name":"Solar Radiation and Photovoltaics","score":0.9210000038146973,"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/computer-science","display_name":"Computer science","score":0.720649242401123},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7193289399147034},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.6225711703300476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6204556226730347},{"id":"https://openalex.org/keywords/fuzzy-cognitive-map","display_name":"Fuzzy cognitive map","score":0.6118733286857605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5966679453849792},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5206769704818726},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5003468990325928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.49892306327819824},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.46123600006103516},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.44347426295280457},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.440075159072876},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.3052517771720886},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.24651670455932617}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.720649242401123},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7193289399147034},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.6225711703300476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6204556226730347},{"id":"https://openalex.org/C5041914","wikidata":"https://www.wikidata.org/wiki/Q5511107","display_name":"Fuzzy cognitive map","level":5,"score":0.6118733286857605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5966679453849792},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5206769704818726},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5003468990325928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49892306327819824},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.46123600006103516},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.44347426295280457},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.440075159072876},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.3052517771720886},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.24651670455932617},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fuzz-ieee.2016.7737871","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2016.7737871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"},{"id":"pmh:oai:documentserver.uhasselt.be:1942/24006","is_oa":false,"landing_page_url":"http://hdl.handle.net/1942/24006","pdf_url":null,"source":{"id":"https://openalex.org/S4306401926","display_name":"Document Server@UHasselt (UHasselt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I878454856","host_organization_name":"Hasselt University","host_organization_lineage":["https://openalex.org/I878454856"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:ir.lib.uth.gr:11615/77665","is_oa":false,"landing_page_url":"http://hdl.handle.net/11615/77665","pdf_url":null,"source":{"id":"https://openalex.org/S4306400243","display_name":"University of Thessaly Institutional Repository (University of Thessaly)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I145722265","host_organization_name":"University of Thessaly","host_organization_lineage":["https://openalex.org/I145722265"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016","raw_type":"conferenceItem"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","score":0.800000011920929,"display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W4164934","https://openalex.org/W102366918","https://openalex.org/W123692700","https://openalex.org/W376489689","https://openalex.org/W1812222446","https://openalex.org/W1813032979","https://openalex.org/W1958951173","https://openalex.org/W1963670268","https://openalex.org/W1981569342","https://openalex.org/W1983585289","https://openalex.org/W1999159825","https://openalex.org/W2003985069","https://openalex.org/W2016960263","https://openalex.org/W2023756471","https://openalex.org/W2033395352","https://openalex.org/W2039960108","https://openalex.org/W2043429280","https://openalex.org/W2048281837","https://openalex.org/W2056217570","https://openalex.org/W2066031679","https://openalex.org/W2081232506","https://openalex.org/W2086019036","https://openalex.org/W2090635835","https://openalex.org/W2091380827","https://openalex.org/W2093202588","https://openalex.org/W2095224843","https://openalex.org/W2117014758","https://openalex.org/W2124776405","https://openalex.org/W2130109162","https://openalex.org/W2146268548","https://openalex.org/W2155482699","https://openalex.org/W2159803222","https://openalex.org/W2175296508","https://openalex.org/W2175744255","https://openalex.org/W2183067340","https://openalex.org/W2184721046","https://openalex.org/W2279704847","https://openalex.org/W2332671993","https://openalex.org/W2338421337","https://openalex.org/W2477994280","https://openalex.org/W2484370487","https://openalex.org/W2550340705","https://openalex.org/W4251905026","https://openalex.org/W4285719527","https://openalex.org/W6638281042","https://openalex.org/W6685642890","https://openalex.org/W6695328995"],"related_works":["https://openalex.org/W2063798559","https://openalex.org/W2991207020","https://openalex.org/W2145925682","https://openalex.org/W1661487699","https://openalex.org/W2372922208","https://openalex.org/W1491151750","https://openalex.org/W2047490267","https://openalex.org/W2777396095","https://openalex.org/W2617561368","https://openalex.org/W1982418457"],"abstract_inverted_index":{"In":[0],"this":[1,232],"study,":[2],"we":[3],"propose":[4],"a":[5],"new":[6,201],"hybrid":[7,202],"approach":[8,133,180,203],"for":[9,39,46,66,77,102,123,158,190,228],"time":[10,52,68,103,125],"series":[11,69,104,126],"prediction":[12,105,207,222],"based":[13,49],"on":[14,50],"the":[15,63,79,90,96,131,137,147,194,197,200,212,219],"efficient":[16,111],"capabilities":[17],"of":[18,42,130,139,142,153,199,218],"fuzzy":[19],"cognitive":[20],"maps":[21],"(FCMs)":[22],"with":[23,110],"structure":[24,34],"optimization":[25,35],"algorithms":[26,113],"and":[27,54,84,114,146,168,175],"artificial":[28,55],"neural":[29,56],"networks":[30,57],"(ANNs).":[31],"The":[32,71,108,128,150,178,224],"proposed":[33,132],"genetic":[36],"algorithm":[37],"(SOGA)":[38],"automatic":[40],"construction":[41],"FCM":[43,109,191],"is":[44,75,134,156,208],"used":[45,61,76,94,101],"modeling":[47],"complexity":[48],"historical":[51,154],"series,":[53],"(ANNs)":[58],"which":[59,88],"are":[60,93,226],"at":[62],"final":[64],"process":[65],"making":[67,124],"prediction.":[70,149,192],"suggested":[72],"SOGA-FCM":[73],"method":[74],"selecting":[78],"most":[80],"important":[81],"nodes":[82],"(attributes)":[83],"interconnections":[85],"among":[86],"them":[87],"in":[89,183,204],"next":[91],"stage":[92],"as":[95,120],"input":[97],"data":[98,141,155],"to":[99,231],"ANN":[100,115],"after":[106],"training.":[107],"learning":[112],"have":[116],"been":[117],"already":[118],"proved":[119],"sufficient":[121],"methods":[122],"forecasting.":[127],"performance":[129],"presented":[135],"through":[136],"analysis":[138,152],"real":[140],"daily":[143],"water":[144,176,205],"demand":[145,206],"corresponding":[148],"multivariate":[151],"held":[157],"nine":[159],"variables,":[160],"season,":[161],"month,":[162],"day":[163],"or":[164],"week,":[165],"holiday,":[166],"mean":[167,213],"high":[169],"temperature,":[170],"rain":[171],"average,":[172],"touristic":[173],"activity":[174],"demand.":[177],"whole":[179],"was":[181],"implemented":[182],"an":[184],"intelligent":[185],"software":[186],"tool":[187],"initially":[188],"deployed":[189],"Through":[193],"experimental":[195],"analysis,":[196],"usefulness":[198],"demonstrated,":[209],"by":[210],"calculating":[211],"absolute":[214],"error":[215],"(as":[216],"one":[217],"well":[220],"known":[221],"measures).":[223],"results":[225],"promising":[227],"future":[229],"work":[230],"direction.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-11-30T00:00:00"}