Irrigation Planning with Fuzzy Parameters: An Interactive Approach

Decisions relating to most irrigation-planning problems need to be made in the face of hydrologic uncertainties, which make the irrigation-planning problem more complex. the uncertainties can be tackled by formulating the problem as fuzzy linear programming (flp). in the present study, single objective fuzzy linear programming (soflp) irrigation planning model was formulated for deriving the optimal cropping pattern plan with the objective of minimization of cost of cultivation and maximization of net benefits for the case study of jayakwadi project stage-i in godavari river sub-basin in maharashtra state, india. the objective function coefficients, technological coefficients, and stipulations/resources under consideration were taken as triangular fuzzy numbers. the interactive approach was used to solve soflp model by involving the decision maker (dm) in all phases of decision-making process. the soflp model gave better results at highest degree of the membership value by keeping balance between feasibility degree of constraints and satisfaction degree of objectives. the minimized cost of cultivation and maximized net benefits for irrigation planning for the soflp model proposed, was found at greatest membership degree of 0.406 and 0.331, respectively, with the consideration of balance between the feasibility degree of constraints and satisfaction degree of goal. the dm can be involved in all phases of decision process, which is very essential in real world problems of irrigation planning where the data/information is vague or uncertain.