Water Consumption Prediction of Istanbul City by Using Fuzzy Logic Approach

145 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran) (2013, methodology): “2005; Altunkaynak et al. 2005). In recent years, adaptive neuro-fuzzy inference system (ANFIS), which is integration of ANN and FL methods, has been used in the modeling of nonlinear engineering and water resources problems (Sen and Altunkaynak 2006; Firat and Gungor 2007, 2008). Moreover, Chou and ”
Predicting Water Level Fluctuations in Lake Michigan-Huron Using Wavelet-Expert System Methods (2014, methodology): “…based on fuzzy logic set theory have been applied to many areas ranging from sociology to hydrology (Altunkaynak 2010; Altunkaynak and Şen 2007; Altunkaynak et al. 2005; Chang and Chang 2006; Alvisi et al. 2006; Bardossy and Duckstein 1995; Bogardi et al. 2003; Chang et al. 2005; Hatiboglu et…”
Comparison of fuzzy inference systems for streamflow prediction (2009, unknown): “The Gaussian MF is a common choice (e.g. Chang et al., 2001; Xiong et al., 2001; Şen, 2004; Altunkaynak et al., 2005a,b; Özger & Şen, 2007), and is expressed as: ( ) ( ) 0otherwise 2 )( expTHEN 2 1IF 2 2 = ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎣ ⎡ − −=≤− ji,j i,j i,ji ji,ji,ji,jj xf b ax xfbax (4) where fi,j is the…”