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

被引:6
|
作者
Hadikurniawati, Wiwien [1 ]
Winarno, Edy [1 ]
Santoso, Dwi Budi [1 ]
Purwatiningtyas [1 ]
机构
[1] Univ Stikubank, Fac Informat Technol, Semarang, Indonesia
来源
2019 3RD INTERNATIONAL CONFERENCE ON INFORMATICS AND COMPUTATIONAL SCIENCES (ICICOS 2019) | 2019年
关键词
multi attribute decision making; AHP; TOPSIS; food crop; DECISION-MAKING;
D O I
10.1109/icicos48119.2019.8982415
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:5
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