Abstract:
Multiobjective Deterministic Goal Programming (MDGP) and Multiobjective Fuzzy Goal Programming (MFGP) methods are applied to obtain optimal irrigation planning for Jayakwadi irrigation project, India. Three objectives viz., net benefits, agricultural production and labour employment are considered for the planning problem. Upper and lower bounds for the objectives are obtained by solving the three objective functions individually. These are used as the limits for fixing the aspiration levels in MDGP and MFGP models. In both cases, six strategies (S1 to S6) with different priorities of labour employment, net benefits and agricultural production are formulated and analysis is carried out. It is observed from the analysis of MDGP that one goal is satisfied when net benefits are given the highest priority and two goals are satisfied when labour employment and agricultural production are accorded highest priority. In case of MFGP, one goal is satisfied when labour employment is given highest priority and one goal is satisfied when agricultural production is given highest priority. None of the goals are satisfied when net benefits are given highest priority. It is concluded that MFGP and MDGP are potential methods that can be extended to other planning scenarios in a conflicting environment.
