A fuzzy soft flood alarm model. (English) Zbl 1183.94069

Kalayathankal, Sunny Joseph; Singh, G. Suresh

Math. Comput. Simul. 80, No. 5, 887-893 (2010).

Summary: A wide range of hydrological analyses for flood, water resources, water quality, ecological studies, etc., require reliable quantification of rainfall inputs. This work illustrates a fuzzy analysis that has the capability to simulate the unknown relations between a set of meteorological and hydrological parameters. A fuzzy approach to flood alarm prediction based on the fuzzy soft set theory is applied to five selected sites of Kerala, India to predict potential flood.

MSC:

94D05	Fuzzy sets and logic (in connection with information, communication, or circuits theory)
68T37	Reasoning under uncertainty in the context of artificial intelligence
62P12	Applications of statistics to environmental and related topics
62A86	Fuzzy analysis in statistics

Keywords:

rainfall; fuzzy soft set; flood; simulation

References:

[1]	Chen, S. M., A new approach to handling fuzzy decision making problems, IEEE Transactions on Systems, Man and Cybernetics, 18, 1012-1016 (1988) · Zbl 0668.68096
[2]	Ertunga, C., Lucien Duckstein, Fuzzy conceptual rainfall-runoff models, Journal of Hydrology, 253, 41-68 (2001)
[3]	Kruse, R.; Gebhardt, J.; Klawonn, F., Foundations of Fuzzy Systems (1994), Wiley: Wiley New York · Zbl 0843.68109
[4]	Maji, P. K.; Biswas, R.; Roy, A. R., Fuzzy soft sets, The Journal of Fuzzy Mathematics, 9, 3, 589-602 (2001) · Zbl 0995.03040
[5]	Maji, P. K.; Biswas, R.; Roy, A. R., On soft set theory, Computers and Mathematics with Applications, 45, 555-562 (2003) · Zbl 1032.03525
[6]	Molodtsov, D., Soft set theory-first results, Computers and Mathematics with Applications, 37, 19-31 (1999) · Zbl 0936.03049
[7]	Nayak, P. C.; Sudheer, K. P.; Ramasastri, K. S., Fuzzy computing based rainfall-runoff model for real time flood forecasting, Hydrological Processes, 19, 955-968 (2005)
[8]	Yu, P.-S.; Chen, S.-T.; Cheng, C.-J.; Yang, T.-C., The potential of fuzzy multi-objective model for rainfall forecasting from typhoon, Natural Hazards, 34, 131-150 (2005)
[9]	Pawlak, Z., Hard Set and Soft Sets, ICS Research Report (1994), Institute of Computer Science Poland
[10]	See, L.; Openshaw, S., Applying soft computing approaches to river level forcasting, Hydrological Sciences Journal, 44, 5, 763-779 (1999)
[11]	Chen, S.-L., The application of comprehensive fuzzy judgement in the interpretation of water-flooded reservoirs, The Journal of Fuzzy Mathematics, 9, 3, 739-743 (2001)
[13]	Kalayathankal, S. J.; Suresh Singh, G., Need and significance of fuzzy modeling of Rainfall, (Proceedings of the National Seminar on Mathematical Modeling and Simulation. Proceedings of the National Seminar on Mathematical Modeling and Simulation, Department of Mathematics, K.E. College, Mannanam, Kerala, India, August (2007)), 27-35
[14]	Kalayathankal, S. J.; Suresh Singh, G., IFS model of flood alarm, Global Journal of Pure and Applied Mathematics, 9, 15-22 (2009)
[15]	Theodoridis, S.; Koutroumbas, K., Pattern Recognition (1999), Academic Press: Academic Press New York, 482-483
[16]	Toth, E.; Brath, A.; Montanari, A., Comparison of short-term rainfall prediction models for real-time flood forecasting, Journal of Hydrology, 239, 132-147 (2000)
[17]	Zadeh, L. A., Fuzzy sets, Information and Control, 8, 338-353 (1965) · Zbl 0139.24606
[18]	Zekai Sen; Abdusselam Altunkaynak, Fuzzy awakening in rainfall-runoff modeling, Nordic Hydrology, 35, 1, 31-43 (2003)