Fuzzy rule based models modification by new data: Application to flood flow forecasting

Water Resources Management

Volumn 23, Issue 12, 2009, Pages 2491-2504

  Akbari, M ^a   Afshar, A ^a   Sadrabadi, M Rezaei ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Flood forecasting; Fuzzy modeling; Knowledge; Modification

Indexed keywords

FLOOD FLOW; FLOOD FORECASTING; FULL MODEL; FUZZY MODELING; FUZZY MODELS; FUZZY RULE-BASED MODELS; KNOWLEDGE; LEADTIME; MODEL MODIFICATION; MODIFICATION; MODIFIED MODEL; REAL TIME FLOOD FORECASTING; TAKAGI SUGENO FUZZY SYSTEMS;

FORECASTING; FUZZY RULES; REPAIR;

FUZZY LOGIC;

ALGORITHM; FLOOD FORECASTING; FUZZY MATHEMATICS; MODELING; NUMERICAL MODEL;

EID: 69249248102     PISSN: 09204741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11269-008-9392-z     Document Type: Article

References (16)

1. Aquil M, Kita I, Yano A, Nishiyama S (2006) A Takagi-Sugeno fuzzy system for the prediction of river stage dynamics. JARQ 40(4):369-378
2. Chau KW, Wu CL, Li YS (2005) Comparison of several flood forecasting models in Yangtze River. J Hydrol Eng 10(6):485-491. doi: 10.1061/ (ASCE)1084-0699(2005)10:6(485)
3. Chen MY, Linkens DA (2004) Rule-base self-generation and simplification for data-driven fuzzy models. J Fuzzy Sets Syst 142:243-265. doi: 10.1016/S0165-0114(03)00160-X
4. Deka P, Chandramouli V (2005) Fuzzy neural network model for hydrologic flow routing. J Hydrol Eng 10(4):302-314. doi: 10.1061/ (ASCE)1084-0699(2005)10:4(302)
5. Dubrovin T, Jolma A, Turunen E (2002) Fuzzy model for real time reservoir operation. J Water Resour Plan Manage 128(1):66-73
6. Karaboga D, Bagis A, Haktanir T (2004) Fuzzy logic based operation of spillway gates of reservoirs during floods. J Hydrol Eng 9(6):544-549. doi: 10.1061/(ASCE)1084-0699(2004)9:6(544)
7. Kim E, Park M, Ji S, Park M (1997) A new approach to fuzzy modeling. J IEEE Trans Fuzzy Syst 5(3):328-337. doi: 10.1109/91.618271
8. Maier HR, Sayed T, Lence BJ (2000) Forecasting cyanobacterial concentrations using B-spline networks. J Comput Civ Eng 14(3):183-189. doi: 10.1061/(ASCE)0887-3801(2000)14:3(183)
9. Mehta R, Jain SK (2008) Optimal operation of a multi-purpose reservoir using neuro-fuzzy technique. J Water Resour Manage. doi: 10.1007/ s11269-008-9286-0
10. Nayak PC, Sudheer KP, Rangan DM, Ramasastri KS (2005) Short-term flood forecasting with a neurofuzzy model. J Water Resour Res 41:1-16
11. Pinthong P, Das Gupta A, Singh Babel M, Weesakul S (2008) Improved reservoir operation using hybrid genetic algorithm and neurofuzzy computing. J Water Resour Manage. doi: 10.1007/s11269-008-9295-z
12. Russell SO, Campbell PF (1996) Reservoir operating rules with fuzzy programming. J Water Resour Plan Manage 122(3):165-170. doi: 10.1061/ (ASCE)0733-9496(1996)122:3(165)
13. Shrestha BP, Duckstein L, Stakhiv EZ (1996) Fuzzy rule based modeling of reservoir operation. J Water Resour Plan Manage 122(4):262-269. doi: 10.1061/(ASCE)0733-9496(1996)122:4(262)
14. Stüber M, Gemmar P, Greving M (2000) Machine supported development of fuzzy-flood forecast systems. Proc Eur Conf Advances Flood Research 2:504-515
15. Takagi T, Sugeno M (1985) Fuzzy identification of systems and its applications to modeling and control. J IEEE Trans Syst Man Cybern 15:116-132
16. Yu PS, Chen CJ, Chen SJ (2000) Application of gray and fuzzy methods for rainfall forecasting. J Hydrol Eng 5(4):339-345. doi: 10.1061/ (ASCE)1084-0699(2000)5:4(339)