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

机译:AHP-TOPSIS混合法求解旱地农作物选择问题

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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:对于决策者而言,根据土地的特性确定在合适的土地上选择粮食作物的选择非常重要。提出的模型可以汇总参数权重,并使用AHP和TOPSIS混合方法确定最佳替代方案。使用AHP方法计算参数的优先权重,然后使用TOPSIS方法进行序列替代。计划模型的设备可以帮助用户根据土地的特性来决定最适合在某些土地上种植的粮食作物。基于使用AHP和TOPSIS混合方法进行的计算,从替代方法获得的最高优先级结果。考虑11个参数的最高优先级替代方法是青豆。在此应用程序中的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在旱地上种植的粮食作物的问题。

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