The purpose of making a decision with multiple criteria is to determine the best option among several alternatives. However, the best option determined may change if different methods are used to rank the alternatives. This study is conducted to compare two methods: RAM and AROMAN. These are two new Multi-Criteria Decision Making (MCDM) methods, both of which were recently discovered in 2023. Three different examples were conducted to compare these two methods, including the selection of a mushroom cultivation mixture, the choice of a metal recycling option, and the selection of an electric bike. The results show that in each example, the best option found when using the RAM method is consistent with the results of other MCDM methods. However, the best option found when using the AROMAN method differs from other methods. This means that AROMAN is deemed unsuitable for use in determining the best option in the three cases examined.

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Comparison of Two Methods: RAM and AROMAN

  • Tran Van Dua,
  • Do Duc Trung,
  • Nguyen Thi Phuong Giang,
  • Duong Van Duc

摘要

The purpose of making a decision with multiple criteria is to determine the best option among several alternatives. However, the best option determined may change if different methods are used to rank the alternatives. This study is conducted to compare two methods: RAM and AROMAN. These are two new Multi-Criteria Decision Making (MCDM) methods, both of which were recently discovered in 2023. Three different examples were conducted to compare these two methods, including the selection of a mushroom cultivation mixture, the choice of a metal recycling option, and the selection of an electric bike. The results show that in each example, the best option found when using the RAM method is consistent with the results of other MCDM methods. However, the best option found when using the AROMAN method differs from other methods. This means that AROMAN is deemed unsuitable for use in determining the best option in the three cases examined.