Takagi–Sugeno fuzzy inference system for modeling stage–discharge relationship

Journal of Hydrology - Tập 331 - Trang 146-160 - 2006
A.K. Lohani1, N.K. Goel2, K.K.S. Bhatia1
1National Institute of Hydrology, Jalvigyan Bhawan, Roorkee 247667, India
2Indian Institute of Technology, Roorkee 247667, India

Tài liệu tham khảo

Bardossy, 1992, Analysis of a Karstic aquifer management problem by fuzzy composite programming, Journal of Water Resources Bulletin, 28, 63, 10.1111/j.1752-1688.1992.tb03154.x Bezdek, J.C., 1973. Fuzzy mathematics in pattern classification. PhD thesis, Applied Math. Center Cornell University, Ithaca. Bhattacharya, 2005, Neural network and M5 model trees in modeling water level–discharge relationship, Journal of Neurocomputing, 63, 381, 10.1016/j.neucom.2004.04.016 Chiu, 1994, Fuzzy model identification based on cluster estimation, Journal of Intelligent and Fuzzy Systems, 2, 267, 10.3233/IFS-1994-2306 Chiu, S., 1996. Method and software for extracting fuzzy classification rules by subtractive clustering. In: Fuzzy Information Proceeding Society, Biennial Conference of the North American, pp. 461–465. Coppola, 2002, Fuzzy rule based methodology for estimating monthly groundwater recharge in a temperate watershed, Journal of Hydrologic Engineering, 7, 326, 10.1061/(ASCE)1084-0699(2002)7:4(326) DeGagne, 1996, A decision support system for the analysis and use of stage–discharge rating curves, Journal of Hydrology, 184, 225, 10.1016/0022-1694(95)02973-7 Deka, 2003, A fuzzy neural network model for deriving the river stage–discharge relationship, Hydrological Science Journal, 48, 197, 10.1623/hysj.48.2.197.44697 Fontane, 1997, Planning reservoir operations with imprecise objectives, Journal of Water Resources Planning and Management, 123, 154, 10.1061/(ASCE)0733-9496(1997)123:3(154) Gawne, 1994, A computer based system of modeling the stage–discharge relationship in steady state conditions, Hydrological Sciences Journal, 39, 487, 10.1080/02626669409492770 Gustafson, 1979, Fuzzy clustering with a fuzzy covariance matrix, Proceedings of IEEE Transactions on Fuzzy Systems, 1, 195 Jang, 1993, ANFIS: adaptive network based fuzzy inference systems, IEEE Transactions on Systems, Man and Cybernetics, 23, 665, 10.1109/21.256541 Jang, 2002 Jain, 2000, Setting up stage discharge relations using ANN, Journal of Hydrologic Engineering, 5, 428, 10.1061/(ASCE)1084-0699(2000)5:4(428) Kindler, 1992, Rationalizing water requirements with aid of fuzzy allocation model, Journal of Water Resources Planning and Management, 118, 308, 10.1061/(ASCE)0733-9496(1992)118:3(308) Lohani, 2005, vol. I 1992 Mamdani, 1977, Application of fuzzy logic to approximate reasoning using linguistic systems, Fuzzy Sets and Systems, 26, 1182 Mujumdar, 2002, A fuzzy risk approach for seasonal water quality management of a river system, Journal of Water Resources Research, 38, 5-1, 10.1029/2000WR000126 Nash, 1970, River flow forecasting through conceptual models part I – a discussion of principles, Journal of Hydrology, 10, 282, 10.1016/0022-1694(70)90255-6 Panigrahi, 2000, Reservoir operation modelling with fuzzy logic, Journal of Water Resources Management, 14, 89, 10.1023/A:1008170632582 Pedrycz, 1984, An identification algorithm in fuzzy relational systems, Fuzzy Sets and Systems, 13, 153, 10.1016/0165-0114(84)90015-0 Sasikumar, 1998, Fuzzy optimization model for water quality management of a river system, Journal of Water Resources Planning and Management, 124, 79, 10.1061/(ASCE)0733-9496(1998)124:2(79) Sudheer, 2003, Radial basis function neural network for modeling rating curves, Journal of Hydrologic Engineering, 8, 161, 10.1061/(ASCE)1084-0699(2003)8:3(161) Sugeno, 1993, A fuzzy-logic based approach to qualitative modeling, IEEE Transaction On Fuzzy Systems, 1, 7, 10.1109/TFUZZ.1993.390281 Takagi, 1985, Fuzzy identification of systems and its application to modeling and control, IEEE Transactions on Systems, Man and Cybernetics, 15, 116, 10.1109/TSMC.1985.6313399 Tawfik, 1997, Hysteresis sensitive neural network for modeling rating curves, Journal of Computing in Civil Engineering, 11, 206, 10.1061/(ASCE)0887-3801(1997)11:3(206) Yager, 1994, Generation of fuzzy rules by mountain clustering, Journal of Intelligent and Fuzzy Systems, 2, 209, 10.3233/IFS-1994-2301 Yi, 1993, Identification of fuzzy relational model and its application to control, Fuzzy Sets and Systems, 59, 25, 10.1016/0165-0114(93)90222-4 Yu, 2000, A systematic over estimation of flows, Journal of Hydrology, 233, 258, 10.1016/S0022-1694(00)00223-7 Zadeh, 1965, Fuzzy sets, Information and Control, 8, 338, 10.1016/S0019-9958(65)90241-X Zadeh, 1973, Outline of a new approach to the analysis of complex systems and decision processes, IEEE Transactions on Systems, Man and Cybernetics, 1, 28, 10.1109/TSMC.1973.5408575 Zadeh, 1999, From computing with numbers to computing with words-from manipulation of measurements to manipulation of perceptions, IEEE Transactions on Circuits and Systems-I: Fundamental theory and applications, 45, 105, 10.1109/81.739259