{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,1]],"date-time":"2025-11-01T05:39:23Z","timestamp":1761975563790,"version":"3.28.0"},"reference-count":46,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,7]]},"DOI":"10.1109\/fuzz-ieee.2016.7737871","type":"proceedings-article","created":{"date-parts":[[2016,11,16]],"date-time":"2016-11-16T23:19:22Z","timestamp":1479338362000},"page":"1523-1530","source":"Crossref","is-referenced-by-count":16,"title":["Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks"],"prefix":"10.1109","author":[{"given":"Elpiniki I.","family":"Papageorgiou","sequence":"first","affiliation":[]},{"given":"Katarzyna","family":"Poczeta","sequence":"additional","affiliation":[]},{"given":"Chrysi","family":"Laspidou","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2009.2038371"},{"key":"ref38","first-page":"95","article-title":"Optimization and Adaptation of Dynamic Models of Fuzzy Relational Cognitive Maps","volume":"6743","author":"s?o?","year":"2011","journal-title":"RSFDGrC 2011 Lecture Notes in Artificial Intelligence"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2008.09.032"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1623\/hysj.54.2.247"},{"key":"ref31","first-page":"547","article-title":"Learning Fuzzy Cognitive Maps using Structure Optimization Genetic Algorithm","author":"pocz?ta","year":"0"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03220-2_12"},{"key":"ref37","first-page":"307","article-title":"Application of Models of Relational Fuzzy Cognitive Maps for Prediction of Work of Complex Systems","volume":"8467","author":"s?o?","year":"2014","journal-title":"Lecture Notes in Artificial Intelligence LNAI"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2006.05.003"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2012.01.015"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2007.03.003"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2015.11.037"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.fss.2005.01.009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/72.329697"},{"journal-title":"Neural Networks A Comprehensive Foundation","year":"1999","author":"haykin","key":"ref12"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2014.6891719"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11310-4_75"},{"year":"2016","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.2478\/bpasts-2014-0079"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2014.11.220"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/S0020-7373(86)80040-2"},{"article-title":"Urban Water Demand Forecasting for the Island of Skiathos Using Multivariate Analysis","year":"0","author":"laspidou","key":"ref19"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2011.08.034"},{"key":"ref4","first-page":"330","article-title":"Comparison of ANFIS and ANN for Estimation of Biochemical Oxygen Demand Parameter in Surface Water","volume":"6","author":"areerachakul","year":"2012","journal-title":"International Scholarly and Scientific Research & Innovation"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2011.2138694"},{"journal-title":"Lecture Notes on Genetic Algorithms","year":"2001","author":"arabas","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2009.06.013"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZ-IEEE.2015.7337973"},{"key":"ref5","article-title":"Forecasting Urban Water Demand","volume":"7","author":"billings","year":"2008","journal-title":"Journal - American Water Works Association"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijar.2014.02.006"},{"key":"ref7","doi-asserted-by":"crossref","DOI":"10.1002\/0471749214","author":"fogel","year":"2005","journal-title":"Evolutionary Computation Toward a New Philosophy of Machine Intelligence"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.2166\/hydro.2006.016"},{"key":"ref9","first-page":"1","article-title":"Hybrid model for medical diagnosis using Neutrosophic Cognitive Maps with Genetic Algorithms","author":"garg","year":"0"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jksues.2015.02.001"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.08.004"},{"key":"ref20","article-title":"A Multivariate Analysis of the Daily Water Demand of Skiathos Island, Greece, Implementing the Artificial Neuro-Fuzzy Inference Sysytem (ANFIS)","author":"mellios","year":"2015","journal-title":"IAHR 2015 E-proceedings of the 36th InternationalAssociation for Hydro-Environment Engineering and Research World Congress"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/S0925-2312(01)00702-0"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.12733\/jics20102682"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2013.12.005"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.proeng.2015.08.1002"},{"key":"ref24","first-page":"1047","article-title":"Hybrid wavelet artificial neural network model for municipal water demand forecasting","volume":"7","author":"mohammed","year":"2012","journal-title":"ARPN Journal of Engineering and Applied Sciences"},{"key":"ref41","first-page":"61","article-title":"Fuzzy and neuro-fuzzy models for short-term water demand forecasting in Tehran","volume":"33","author":"tabesh","year":"2009","journal-title":"Iranian J Sci Technol Trans B Eng"},{"key":"ref23","first-page":"92","article-title":"Urban Water Demand Forecasting Using the Stochastic Nature of Short Term Historical Water Demand and supply Pattern","volume":"2","author":"mamo","year":"2013","journal-title":"Advances in Water Resources and Hydraulic Engineering"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhydrol.2008.11.036"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-39739-4","article-title":"Fuzzy Cognitive Maps for Applied Sciences and Engineering From Fundamentals to Extensions and Learning Algorithms","volume":"54","author":"papageorgiou","year":"2014","journal-title":"Intelligent Systems Reference Library"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/ITHET.2013.6671061"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2007.4413591"}],"event":{"name":"2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","start":{"date-parts":[[2016,7,24]]},"location":"Vancouver, BC, Canada","end":{"date-parts":[[2016,7,29]]}},"container-title":["2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7694773\/7737658\/07737871.pdf?arnumber=7737871","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,20]],"date-time":"2024-06-20T16:55:51Z","timestamp":1718902551000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7737871\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/fuzz-ieee.2016.7737871","relation":{},"subject":[],"published":{"date-parts":[[2016,7]]}}}