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FUZZY ITERATION METHODOLOGY FOR RESERVOIR FLOOD CONTROL OPERATION 1
Author(s) -
Cheng Chuntian,
Chau K W.
Publication year - 2001
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.2001.tb03646.x
Subject(s) - flood control , fuzzy logic , computer science , degree (music) , control (management) , flood myth , key (lock) , mathematical optimization , operations research , mathematics , artificial intelligence , philosophy , physics , theology , computer security , acoustics
Reservoir flood control is operated in real time so finding the optimal solution is unnecessary since it may not be practical. The key to reservoir flood control operation is quickly generating some feasible and effective alternatives and then selecting one among them. A fuzzy iteration methodology, which gives the objective weight and the relative membership degree of alternatives at the same time, is presented. Since the weight and relative membership degree are directly acquired from the recommended alternatives provided by decision makers, the results are more reasonable and realistic. Besides, the difficulty in giving weights is also avoided. With the aid of a robust and flexible decision support system, the effectiveness of decision making can be improved.