Abstract
AbstractThis study determines the optimal operational strategies for a complex water resource system. These strategies are derived from four conflicting objective functions: maximization of net irrigation benefits, maximization of employment generation, minimization of cultivation cost, and maximization of revenue generation from industrial and municipal supplies. Multiobjective fuzzy linear programming (MOFLP) models, i.e., the maximum-minimum (max-min) operator, two-phase MOFLP (TPMOFLP), and fuzzy compromise approach (average operator), are derived from the individual linear programming solutions of these objective functions. The performances of the derived MOFLP models are compared for inflows that have different probabilities of exceedance with reference to the overall degree of satisfaction, irrigation intensity, and optimized values of the relevant objective functions. The cropping pattern obtained from the recommended MOFLP model, i.e., average operator Case-I (overall degree of satisfaction λ=0.7...
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