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A Mixed Method using AHP-TOPSIS for Dryland Agriculture Crops Selection Problem

机译:一种使用AHP-Topsis进行旱地农作物选择问题的混合方法

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Determination of the selection of food crops on a suitable land planted based on the characteristics of the land is very important for decision makers. A proposed model that aggregated weight of parameters and determined the best alternative using an AHP and TOPSIS mixed method. Priority weights for parameters are calculated using the AHP method and then making a sequence alternative uses the TOPSIS method. The appliance of the planned model can help users in deciding the most suitable food crops to be planted on certain land according to the characteristics of the land. Based on calculations using the AHP and TOPSIS mix methods the highest priority results obtained from the alternative. The highest priority alternative to the consideration of 11 parameters is green beans. Ranking in this application depends on the choice of preference type and determination of parameter thresholds. Proposed method can solve the problem of determining food crops that are suitable for planting in dry land.
机译:基于土地特征种植的合适土地上的食物作物选择对决策者来说非常重要。一个提出的模型,其聚合参数的权重,并确定使用AHP和TopSis混合方法的最佳替代方法。使用AHP方法计算参数的优先权重,然后进行序列替代使用TopSIS方法。计划模型的设备可以帮助用户根据土地的特征决定在某些土地上种植的最合适的食物作物。基于使用AHP和TOPSIS混合方法的计算,从替代方案中获得的最高优先级结果。考虑11个参数的最高优先级是绿豆。在本申请中排名取决于偏好类型的选择和参数阈值的确定。提出的方法可以解决确定适合于种植在干陆的食物作物的问题。

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