A hybrid probabilistic fuzzy goal programming approach for agricultural decision-making

R.K. Jana, Dinesh K. Sharma and B. Chakraborty

International Journal of Production Economics, 2016, vol. 173, issue C, 134-141

Abstract: In this paper, we present a probabilistic fuzzy goal programming model to capture different uncertainties in an agricultural decision-making environment. First, we construct the goals of the model as probabilistic fuzzy goals. Next, we convert the probabilistic fuzzy goal programming problem to a probabilistic constrained programming problem. While a deterministic solution to this problem cannot be derived, we use a hybrid approach comprising Monte-Carlo simulation and a real-coded genetic algorithm. The application of the proposed model and the solution technique is demonstrated by considering the agricultural planning of the Danton-II community development block of Paschim Medinipur District, West Bengal, India.

Keywords: Probabilistic programming; Probabilistic fuzzy goal programming; Real coded genetic algorithm; Monte-Carlo simulation; Agricultural planning (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:173:y:2016:i:c:p:134-141

DOI: 10.1016/j.ijpe.2015.12.010

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