Abstract
ABSTRACT Fuzzy Linear Programming (FLP) irrigation planning model is developed for the evaluation of management strategies for the case study of Sri Ram Sagar Project, Andhra Pradesh, India. Three conflicting objectives net benefits, crop production and labour employment are considered in the irrigation planning scenario. The present paper demonstrates how vagueness and imprecision in the objective function values can be quantified my membership functions in a fuzzy multi objective framework. Uncertainty in the inflows is considered by stochastic programming. Fuzzy Linear Programming (FLP) solution yields net benefits 1,633 million Rupees, 0.70 million tons of crop production, 42.89 million man-days with degree of truth (λ) 0.69. Analysis of results indicated that net benefits, crop production and labour employment in FLP have decreased by 2.38%, 9.6% and 7.22% as compared to ideal values in the crisp Linear Programming (LP) model. Comparison of results indicated that the methodology can be extended to other similar situations.
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