Multiobjective fuzzy linear programming for sustainable irrigation planning: an Indian case study

Multiobjective fuzzy linear programming (MOFLP) irrigation planning model is formulated for the evaluation of management strategy for the case study of Jayakwadi irrigation project, Maharashtra, India. Three conflicting objectives net benefits, agricultural production and labour employment are consi...

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Published in:Soft computing (Berlin, Germany) Vol. 7; no. 6; pp. 412 - 418
Main Authors: Raju, K. Srinivasa, Duckstein, L.
Format: Journal Article
Language:English
Published: Heidelberg Springer Nature B.V 01.05.2003
Subjects:
Irrigation
Linear programming
ISSN:1432-7643, 1433-7479
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Abstract Multiobjective fuzzy linear programming (MOFLP) irrigation planning model is formulated for the evaluation of management strategy for the case study of Jayakwadi irrigation project, Maharashtra, India. Three conflicting objectives net benefits, agricultural production and labour employment are considered in the irrigation planning scenario. All three criteria are to be maximised and the last two are sustainability related. All three objective functions are quantified by linear membership functions in a fuzzy multi objective framework. It is observed from MOFLP solution that net benefits, agricultural production and labour employment are 2.031×109 Rupees, 2.1186×106 tons, 3.5858×107 man-days respectively with degree of truth (λ) 0.5715. Analysis of results indicated that net benefits, agricultural production, labour employment have decreased by 4.13, 5.39 and 3.4% as compared to ideal values in the crisp linear programming (LP) model.
AbstractList Multiobjective fuzzy linear programming (MOFLP) irrigation planning model is formulated for the evaluation of management strategy for the case study of Jayakwadi irrigation project, Maharashtra, India. Three conflicting objectives net benefits, agricultural production and labour employment are considered in the irrigation planning scenario. All three criteria are to be maximised and the last two are sustainability related. All three objective functions are quantified by linear membership functions in a fuzzy multi objective framework. It is observed from MOFLP solution that net benefits, agricultural production and labour employment are 2.031×109 Rupees, 2.1186×106 tons, 3.5858×107 man-days respectively with degree of truth (λ) 0.5715. Analysis of results indicated that net benefits, agricultural production, labour employment have decreased by 4.13, 5.39 and 3.4% as compared to ideal values in the crisp linear programming (LP) model.
Author Raju, K. Srinivasa
Duckstein, L.
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Linear programming
Title Multiobjective fuzzy linear programming for sustainable irrigation planning: an Indian case study
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