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A priority based interval-valued Goal Programming approach for land utilization planning in agricultural system: A case study

机译:基于优先级的区间值目标规划法在农业系统土地利用规划中的应用

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This paper demonstrates a Goal Programming (GP) Procedure for modeling and solving land utilization planning problems having interval-valued objective goals for optimal production of seasonal crops in agricultural system. In the proposed approach, utilization of total land for cultivation, aspiration levels of production of crops, expected profit from the farm as well as certain ratios of crops production and profit achievement are described interval-valued for goal achievement in the context of making proper cropping plan. In the model formulation of the problem, the defined interval-valued goals are converted into conventional goals by using interval arithmetic technique in interval programming (IP) and introducing under- and over-deviational variables to each of them. Again, certain ratio goals which are inherent to the problem are transformed into linear goals by employing the linear transformation approach to solve the problem by using the linear GP methodology. In the decision process, both the minsum GP and minmax GP approaches are addressed in the achievement function for minimizing the possible regret towards goal achievement from the optimistic point of view in the inexact decision making environment. The potential use of the approach demonstrated via a case example of the Nadia District, West Bengal (W.B), INDIA.
机译:本文演示了一种目标规划(GP)程序,该程序用于建模和解决土地利用规划问题,该问题具有区间值的客观目标,可以实现农业系统中季节性作物的最佳生产。在建议的方法中,描述了在适当种植的情况下,为实现目标而设定的区间值,描述了用于耕种的土地总利用量,农作物的期望产量,农场的预期利润以及一定比例的农作物产量和利润实现情况计划。在问题的模型表示中,通过在间隔编程(IP)中使用间隔算术技术并对每个变量引入偏高和偏低变量,将定义的间隔值目标转换为常规目标。同样,通过使用线性变换方法通过使用线性GP方法解决问题,可以将问题固有的某些比率目标转换为线性目标。在决策过程中,成就函数中要同时考虑最小和最大GP方法,以便从不精确的决策环境中的乐观观点出发,将对实现目标的遗憾最小化。该方法的潜在用途通过印度西孟加拉邦纳迪亚区(W.B)的案例得到证明。

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