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Volumn 32, Issue , 2014, Pages 270-282

Uncertainty analysis of water supply networks using the fuzzy set theory and NSGA-II

Author keywords

Fuzzy set theory; NSGA II; Uncertainty; Water supply networks

Indexed keywords

COMPUTER SIMULATION; FUZZY RULES; FUZZY SET THEORY; WATER SUPPLY;

EID: 84900428807     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2014.02.010     Document Type: Article
Times cited : (54)

References (44)
  • 1
    • 84874273630 scopus 로고    scopus 로고
    • Effects of pipe roughness uncertainty on water distribution network performance during its operational period
    • S.S. Aghmiuni, O.B. Haddad, M.H. Omid, and M.A. Mariño Effects of pipe roughness uncertainty on water distribution network performance during its operational period J. Water Resour. Manage. 27 2013 1581 1599
    • (2013) J. Water Resour. Manage. , vol.27 , pp. 1581-1599
    • Aghmiuni, S.S.1    Haddad, O.B.2    Omid, M.H.3    Mariño, M.A.4
  • 2
    • 0025486755 scopus 로고
    • Model for water distribution system reliability
    • Y. Bao, and L.W. Mays Model for water distribution system reliability J. Hydraul. Eng. 116 9 1990 1119 1137
    • (1990) J. Hydraul. Eng. , vol.116 , Issue.9 , pp. 1119-1137
    • Bao, Y.1    Mays, L.W.2
  • 4
    • 0037147695 scopus 로고    scopus 로고
    • Automated objective classification of daily crirculation patterns for precipitation and temperature downscaling based on optimized fuzzy rules
    • A. Bardossy, J. Stehlic, and H.J. Caspary Automated objective classification of daily crirculation patterns for precipitation and temperature downscaling based on optimized fuzzy rules Climate Res. 23 2002 11 22
    • (2002) Climate Res. , vol.23 , pp. 11-22
    • Bardossy, A.1    Stehlic, J.2    Caspary, H.J.3
  • 6
    • 0009527833 scopus 로고
    • Fuzzy programming approach to multicriteria decision making transportation problem
    • A.K. Bit, M.P. Biswal, and S.S. Alam Fuzzy programming approach to multicriteria decision making transportation problem Fuzzy Sets Syst. 50 1992 135 141
    • (1992) Fuzzy Sets Syst. , vol.50 , pp. 135-141
    • Bit, A.K.1    Biswal, M.P.2    Alam, S.S.3
  • 7
    • 33746354932 scopus 로고    scopus 로고
    • Fuzzy approach in the uncertainty analysis of water distribution network of Becej
    • N. Branisavljevic, and M. Ivetic Fuzzy approach in the uncertainty analysis of water distribution network of Becej Civil Eng. Environ. Syst. 23 3 2006 221 236
    • (2006) Civil Eng. Environ. Syst. , vol.23 , Issue.3 , pp. 221-236
    • Branisavljevic, N.1    Ivetic, M.2
  • 8
    • 0003518378 scopus 로고
    • Fuzzy programming and the multicriteria decision problem
    • J. Kacprzyk, D. Reidel Publishing Co. Boston
    • J.J. Buckley Fuzzy programming and the multicriteria decision problem J. Kacprzyk, Optimization Models Using Fuzzy Sets and Possibility Theory 1987 D. Reidel Publishing Co. Boston 226 244
    • (1987) Optimization Models Using Fuzzy Sets and Possibility Theory , pp. 226-244
    • Buckley, J.J.1
  • 9
    • 47949123659 scopus 로고    scopus 로고
    • Counter propagation fuzzy neural network for city flood control system
    • F.j. Chang, K.Y. Chang, and L.C. Chang Counter propagation fuzzy neural network for city flood control system J. Hydrol. 358 2008 24 34
    • (2008) J. Hydrol. , vol.358 , pp. 24-34
    • Chang, K.Y.1    Chang, L.C.2
  • 10
    • 0035664597 scopus 로고    scopus 로고
    • Fuzzy iteration methodology for reservoir flood control operation
    • C.T. Cheng, and K.W. Chau Fuzzy iteration methodology for reservoir flood control operation J. Am. Water Resour. Assoc. 37 2001 1381 1385
    • (2001) J. Am. Water Resour. Assoc. , vol.37 , pp. 1381-1385
    • Cheng, C.T.1    Chau, K.W.2
  • 11
  • 12
    • 20344385052 scopus 로고    scopus 로고
    • Applicability of Neuro-fuzzy techniques in predicting ground water vulnerability: Sensitivity analysis
    • B. Dixon Applicability of Neuro-fuzzy techniques in predicting ground water vulnerability: sensitivity analysis J. Hydrol. 309 2005 17 38
    • (2005) J. Hydrol. , vol.309 , pp. 17-38
    • Dixon, B.1
  • 13
    • 77957937614 scopus 로고    scopus 로고
    • Probabilistic analysis of transient design for water supply systems
    • H.F. Duan, Y.K. Tung, and M.S. Ghidaoui Probabilistic analysis of transient design for water supply systems J. Water Resour. Plan. Manage. 136 6 2010 678 687
    • (2010) J. Water Resour. Plan. Manage. , vol.136 , Issue.6 , pp. 678-687
    • Duan, H.F.1    Tung, Y.K.2    Ghidaoui, M.S.3
  • 14
    • 0000308566 scopus 로고
    • Real-coded genetic algorithms and interval schemata
    • D.L. Whitley, Morgan Kaufman San Mateo, CA
    • L.J. Eshelman, and D.J. Shaffer Real-coded genetic algorithms and interval schemata D.L. Whitley, Foundations of Genetic Algorithms 2 1993 Morgan Kaufman San Mateo, CA 187 202
    • (1993) Foundations of Genetic Algorithms 2 , pp. 187-202
    • Eshelman, L.J.1    Shaffer, D.J.2
  • 15
    • 79952225770 scopus 로고    scopus 로고
    • Imprecise probabilistic evaluation of sewer flooding in urban drainage systems using random set theory
    • G. Fu, D. Butler, S.T. Khu, and S.Z. Sun Imprecise probabilistic evaluation of sewer flooding in urban drainage systems using random set theory J. Water Resour. Res. 47 2011 1 13
    • (2011) J. Water Resour. Res. , vol.47 , pp. 1-13
    • Fu, G.1    Butler, D.2    Khu, S.T.3    Sun, S.Z.4
  • 16
    • 75149154222 scopus 로고    scopus 로고
    • Fuzzy waste load allocation model: A multi objective approach
    • S. Ghosh, and P.P. Mujumdar Fuzzy waste load allocation model: a multi objective approach J. Hydroinf. 12 2010 96 109
    • (2010) J. Hydroinf. , vol.12 , pp. 96-109
    • Ghosh, S.1    Mujumdar, P.P.2
  • 17
    • 2542600818 scopus 로고    scopus 로고
    • Optimal design of groundwater remediation systems using Fuzzy set theory
    • J.B. Guan, and M.M. Aral Optimal design of groundwater remediation systems using Fuzzy set theory Water Resour. Res. 40 2004 1 20
    • (2004) Water Resour. Res. , vol.40 , pp. 1-20
    • Guan, J.B.1    Aral, M.M.2
  • 18
    • 33947537970 scopus 로고    scopus 로고
    • Fuzzy parameters in pipe network analysis
    • B. Gupta, and P.R. Bhave Fuzzy parameters in pipe network analysis Civil Eng. Environ. Syst. 24 1 2005 33 54
    • (2005) Civil Eng. Environ. Syst. , vol.24 , Issue.1 , pp. 33-54
    • Gupta, B.1    Bhave, P.R.2
  • 19
    • 84872367455 scopus 로고    scopus 로고
    • A fuzzy approach for considering uncertainty in transient analysis of pipe networks
    • A. Haghighi, and A.R. Keramat A fuzzy approach for considering uncertainty in transient analysis of pipe networks J. Hydroinf. 14 4 2012 1024 1035
    • (2012) J. Hydroinf. , vol.14 , Issue.4 , pp. 1024-1035
    • Haghighi, A.1    Keramat, A.R.2
  • 21
    • 10244243695 scopus 로고    scopus 로고
    • Fuzzy logic based operation of spillway gates of reservoirs during floods
    • D. Karaboga, A. Bagis, and T. Haktanir Fuzzy logic based operation of spillway gates of reservoirs during floods J. Hydrol. Eng. 9 2004 544 549
    • (2004) J. Hydrol. Eng. , vol.9 , pp. 544-549
    • Karaboga, D.1    Bagis, A.2    Haktanir, T.3
  • 22
    • 77954384995 scopus 로고    scopus 로고
    • River suspended sediment concentration modeling using a neural differential evolution approach
    • O. Kisi River suspended sediment concentration modeling using a neural differential evolution approach J. Hydrol. 389 2010 227 235
    • (2010) J. Hydrol. , vol.389 , pp. 227-235
    • Kisi, O.1
  • 23
    • 73649113119 scopus 로고    scopus 로고
    • Modeling daily discharge of a large karstic aquifer using soft computing methods: Artificial neural network and neuro-fuzzy
    • B. Kurtulus, and M. Razack Modeling daily discharge of a large karstic aquifer using soft computing methods: Artificial neural network and neuro-fuzzy J. Hydrol. 381 2010 101 111
    • (2010) J. Hydrol. , vol.381 , pp. 101-111
    • Kurtulus, B.1    Razack, M.2
  • 24
    • 0016451032 scopus 로고
    • An experiment in linguistic synthesis with a fuzzy logic controller
    • E.H. Mamdani, and S. Assilian An experiment in linguistic synthesis with a fuzzy logic controller Int. J. Man-Mach. Stud. 7 1975 1 13
    • (1975) Int. J. Man-Mach. Stud. , vol.7 , pp. 1-13
    • Mamdani, E.H.1    Assilian, S.2
  • 25
    • 4444221972 scopus 로고    scopus 로고
    • Fuzzy waste load allocation model for river systems: Simulation- optimization approach
    • P.P. Mujumdar, and V.V.R. Subbarao Fuzzy waste load allocation model for river systems: simulation-optimization approach J. Comput. Civil Eng. 18 2004 120 131
    • (2004) J. Comput. Civil Eng. , vol.18 , pp. 120-131
    • Mujumdar, P.P.1    Subbarao, V.V.R.2
  • 26
    • 33847192089 scopus 로고    scopus 로고
    • Water quality index: A fuzzy river pollution decision support expert system
    • F. Nasiri, I. Maqsood, G. Huang, and N. Fuller Water quality index: a fuzzy river pollution decision support expert system J. Water Resour. Plan. Manage. 133 2007 95 105
    • (2007) J. Water Resour. Plan. Manage. , vol.133 , pp. 95-105
    • Nasiri, F.1    Maqsood, I.2    Huang, G.3    Fuller, N.4
  • 27
    • 0035889604 scopus 로고    scopus 로고
    • Fuzzy conceptual rainfallrunoff models
    • E.C. Ozelkan, and L. Duckstein Fuzzy conceptual rainfallrunoff models J. Hydrol. 253 2001 41 68
    • (2001) J. Hydrol. , vol.253 , pp. 41-68
    • Ozelkan, E.C.1    Duckstein, L.2
  • 28
    • 69949181687 scopus 로고    scopus 로고
    • Comparison of fuzzy inference systems for streamflow prediction
    • M. Ozger Comparison of fuzzy inference systems for streamflow prediction Hydrol. Sci. J. 2009 54261 54273
    • (2009) Hydrol. Sci. J. , pp. 54261-54273
    • Ozger, M.1
  • 31
    • 0033536877 scopus 로고    scopus 로고
    • Application of fuzzy rule-based modeling technique to regional drought
    • R. Pongracza, I. Bogardib, and L. Ducksteinc Application of fuzzy rule-based modeling technique to regional drought J. Hydrol. 224 1999 100 114
    • (1999) J. Hydrol. , vol.224 , pp. 100-114
    • Pongracza, R.1    Bogardib, I.2    Ducksteinc, L.3
  • 32
    • 0036171051 scopus 로고    scopus 로고
    • Fuzzy approach for analysis of pipe network
    • R. Revelli, and L. Ridolfi Fuzzy approach for analysis of pipe network J. Hydraul. Eng. 128 2002 93 101
    • (2002) J. Hydraul. Eng. , vol.128 , pp. 93-101
    • Revelli, R.1    Ridolfi, L.2
  • 33
    • 0029663691 scopus 로고    scopus 로고
    • Fuzzy learning decomposition for scheduling of hydroelectric power systems
    • M. Saad, P. Bigras, A. Turgeon, and R. Duguette Fuzzy learning decomposition for scheduling of hydroelectric power systems Water Resour. Res. 32 1996 179 186
    • (1996) Water Resour. Res. , vol.32 , pp. 179-186
    • Saad, M.1    Bigras, P.2    Turgeon, A.3    Duguette, R.4
  • 34
    • 0032030008 scopus 로고    scopus 로고
    • Fuzzy optimization model for water quality management of a river system
    • K. Sasikumar, and P.P. Mujumdar Fuzzy optimization model for water quality management of a river system J. Water Resour. Plann. Manage. 124 1998 79 88
    • (1998) J. Water Resour. Plann. Manage. , vol.124 , pp. 79-88
    • Sasikumar, K.1    Mujumdar, P.P.2
  • 35
    • 84862065167 scopus 로고    scopus 로고
    • Water distribution network analysis under fuzzy demand
    • M. Spiliotis, and G. Tsakiris Water distribution network analysis under fuzzy demand Civil Eng. Environ. Syst. 29 2 2012 107 122
    • (2012) Civil Eng. Environ. Syst. , vol.29 , Issue.2 , pp. 107-122
    • Spiliotis, M.1    Tsakiris, G.2
  • 36
    • 0000852513 scopus 로고
    • Multiobjective optimization using nondominated sorting in genetic algorithm
    • N. Srinivas, and K. Deb Multiobjective optimization using nondominated sorting in genetic algorithm Evol. Comput. 2 1995 221 248
    • (1995) Evol. Comput. , vol.2 , pp. 221-248
    • Srinivas, N.1    Deb, K.2
  • 37
    • 41649090758 scopus 로고    scopus 로고
    • Regional flood frequency analysis by combining self-organizing feature map and fuzzy clustering
    • V.V. Srinivas, S. Tripathia, A.R. Raoa, and R.S. Govindarajua Regional flood frequency analysis by combining self-organizing feature map and fuzzy clustering J. Hydrol. 348 2008 148 166
    • (2008) J. Hydrol. , vol.348 , pp. 148-166
    • Srinivas, V.V.1    Tripathia, S.2    Raoa, A.R.3    Govindarajua, R.S.4
  • 38
    • 78649516304 scopus 로고    scopus 로고
    • Forecasting of rainfall using ocean-atmospheric indices with a fuzzy neural technique
    • G. Srivastava, S.N. Panda, P. Mondal, and J. Liu Forecasting of rainfall using ocean-atmospheric indices with a fuzzy neural technique J. Hydrol. 395 2010 190 198
    • (2010) J. Hydrol. , vol.395 , pp. 190-198
    • Srivastava, G.1    Panda, S.N.2    Mondal, P.3    Liu, J.4
  • 41
    • 34248666540 scopus 로고
    • Fuzzy Sets
    • L.A. Zadeh Fuzzy Sets Inf. Control 8 1965 338 353
    • (1965) Inf. Control , vol.8 , pp. 338-353
    • Zadeh, L.A.1
  • 42
    • 0015558134 scopus 로고
    • Outline of a new approach to the analysis of complex systems and decision processes
    • L.A. Zadeh Outline of a new approach to the analysis of complex systems and decision processes IEEE Trans. Syst. Man Cybernet. 3 1973 28 44
    • (1973) IEEE Trans. Syst. Man Cybernet. , vol.3 , pp. 28-44
    • Zadeh, L.A.1


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