Yes, there are other normalization methods for the "nominal-is-better" case besides GRA, such as ideal point method. It should be noted that each normalization methods has its own advantages and disadvantages, and the choice of method will depend on the specific characteristics of the data and the decision problem at hand. For more details about the normalization techniques and the impact of these techniques on the generated results, we referring to the following studies as examples:

• https://link.springer.com/article/10.1007/s00158-020-02581-9
• https://research.unl.pt/ws/portalfiles/portal/11450635/Data_normalisation_techniques_in_decision_making_Case_study_with_TOPSIS_method.pdf

Hi Adnan,

Here are a few common ones:

It's important to note that the choice of normalization method should depend on the nature of the data and the decision problem at hand.

I agree with the idea of Wadie Abu Dahoud.

there are other normalization methods for the "nominal-is-better" case besides the normalization possible through grey relational analysis (GRA). Some commonly used normalization methods in MCDM for nominal scale data include:

Each normalization method has its advantages and disadvantages, and the choice of method will depend on the specific characteristics of the decision problem and the nature of the data.