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

W. Hadikurniawati, Edy Winarno, D. Santoso, Purwatiningtyas
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引用次数: 8

Abstract

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.
基于AHP-TOPSIS的旱地农业作物选择混合方法
根据土地的特点确定在合适的土地上种植粮食作物对决策者来说是非常重要的。采用层次分析法和TOPSIS混合方法,对各参数的权重进行汇总,确定最佳方案。采用层次分析法计算各参数的优先级权重,然后采用TOPSIS法进行序列选择。规划模型的应用可以帮助用户根据土地的特点决定在某块土地上种植最合适的粮食作物。基于AHP和TOPSIS混合方法的计算,从备选方案中获得最高优先级的结果。考虑11个参数的优先级最高的选择是青豆。此应用程序中的排名取决于首选项类型的选择和参数阈值的确定。该方法可以解决适合旱地种植的粮食作物的确定问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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