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Soft Computing
Erschienen in: Soft Computing 15/2020

26.05.2020 | Foundations

Fuzzy and improved fuzzy-wavelet approach in modeling municipal residential water consumption estimation using climatic variables

verfasst von: H. J. Surendra, Paresh Chandra Deka

Erschienen in: Soft Computing | Ausgabe 15/2020

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Abstract

This work highlights the importance of fuzzy-wavelet denoise and fuzzy-wavelet compress in modeling the municipal residential water consumption estimation. To begin, fuzzy logic is used with different rules, membership criteria and fuzzy set. Based on accuracy of the developed model, optimum number of rules and best membership function were selected. To improve the accuracy of the single fuzzy model, wavelets technique (denoise and compress approach) was coupled with fuzzy logic and results were compared to single fuzzy technique. To map the input and output functions, the present research work includes Mamdani fuzzy inference approach based on various climatic input variables like rainfall, maximum temperature, minimum temperature and relative humidity. The models were trained based on climatic data to a certain period, and corresponding estimated models were tested for the same period. Result highlights that models with denoise and compress approach have better accuracy compared to single fuzzy model.
Vorheriger Artikel State theory on bounded hyper EQ-algebras
Nächster Artikel A study of similarity measures through the paradigm of measurement theory: the fuzzy case

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Literatur
Abu AO (2017) Adaptation of reproducing kernel algorithm for solving fuzzy Fredholm–Volterra integro differential equations. Neural Comput Appl 28:1591–1610CrossRef
Abu AO, Zaer A (2014) Numerical solution of systems of second-order boundary value problems using, continuous genetic algorithm. Inf Sci 279:396–415MathSciNetCrossRef
Abu AO, Al-Smadi M, Shaher M, Hayat T (2016) Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method. Soft Comput 20:3283–3302CrossRef
Babel MS, Shinde R (2011) Identifying prominent explanatory variables for water demand prediction using artificial neural network: a case of Bangkok. Water Resour Manag 25:1653–1676CrossRef
Babel MS, DasGupta A, Pradhan P (2007) A multivariate econometric approach for domestic water demand modeling: an application to Kathmandu, Nepal. Water Resour Manag 21:573–589CrossRef
Breyer B, Chang H, Parandvash H (2012) Land-use, temperature and single-family residential water patterns in Portland, Oregon and Phoenix, Arizona. J Appl Geogr 35(2012):142–151CrossRef
Chang CC, Sun Z, Li N (2003) Identification of structural dynamic properties using wavelet transform. In: Wu Z, Abe M (eds) Structural health monitoring and intelligent infrastructure, vol 2. Balkema, Lisse, pp 1243–1248
Coulibaly P, Burn HD (2004) Wavelet analysis of variability in annual Canadian stream flows. Water Resour Res 40(3):1–14CrossRef
Fahmi A, Abdullah S, Amin F, Siddque N, Ali A (2017a) Aggregation operators on triangular cubic fuzzy numbers and its application to multi-criteria decision making problems. J Intell Fuzzy Syst 33:3323–3337CrossRef
Fahmi A, Abdullah S, Amin F, Ali A (2018a) Weighted average rating (war) method for solving group decision making problem using triangular cubic fuzzy hybrid aggregation (TCFHA). Punjab Univ J Math 50(1):23–34MathSciNet
Fahmi A, Amin F, Smarandache F, Khan M, Hassan N (2018e) Triangular cubic hesitant fuzzy Einstein hybrid weighted averaging operator and its application to decision making. Symmetry 10:658CrossRef
Fahmi A, Abdullah S, Amin F, Aslam M, Hussain S (2019a) Trapezoidal Linguistic Cubic Fuzzy TOPSIS method and application in a group decision making program. J Intell Syst 29:1283–1300CrossRef
Fahmi A, Amin F, Khan M, Smarandache F (2019b) Group decision making based on triangular neutrosophic cubic fuzzy einstein hybrid weighted averaging operators. Symmetry 11(2):180CrossRef
Fahmi A, Abdullah S, Amin F, Ali A, Ahmad R, Shakeel M (2019c) Trapezoidal cubic hesitant fuzzy aggregation operators and their application in group decision-making. J Intell Fuzzy Syst 36(4):3619–3635CrossRef
Fox C, Mclntosh BS, Jeffrey P (2009) Classifying households for water demand forecasting using physical property characteristics. J Land Use Policy 26:558–568CrossRef
Kermani Z, Teshnehlab M (2008) Using adaptive neuro fuzzy inference system for hydrological time series prediction. Appl Soft Comput 8:928–936CrossRef
Kijewski T, Kareem A (2003) Wavelet transforms for system identification in civil engineering. Comput Aided Civ Infrastruct Eng 18:339–355CrossRef
Lee S, Tong L (2011) Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming. Knowl Based Syst 24:66–72CrossRef
Lu RY (2002) Decomposition of interdecadal and interannual components for North China rainfall in rainy season. Chin J Atmos 26:611–624
Partal T, Kucuk M (2006) Flow forecasting for a Hawaii stream using rating curves and neural networks. J Hydrol 317:63–80CrossRef
Sharma KD, Gosain AK (2010) Application of climatic information and predictions in water sector: capabilities. J Environ Sci 1:120–129
Zhao P, Zhang H (2007) Short-term forecasting of urban water consumption based on the largest Lyapunov exponent. Trans Tianjin Univ 13:191–194
Metadaten
Titel
Fuzzy and improved fuzzy-wavelet approach in modeling municipal residential water consumption estimation using climatic variables
verfasst von
H. J. Surendra
Paresh Chandra Deka
Publikationsdatum
26.05.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Soft Computing / Ausgabe 15/2020
Print ISSN: 1432-7643
Elektronische ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-020-05053-w

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