DearJogeswar

Simply, choose the method that best can model your problem

Thanks, Prof. Nolberto Munier for your nice suggestion.

Thanks, Prof. Do Duc Trung

I have used one method i.e TOPSIS in my last work. So I can follow your reference for my future work.

Best Wishes

Jogeswar

Dear Jogeswar Tripathy

There are many MCDM techniques such as TOPSIS, ELECTRE, AHP, BWM and etc to use for your problem. You need to check which one is the most fitted to your problem. The only problem with techniques like TOPSIS, ELECTRE, AHP, BWM and etc is they usually provide a ranking for the identified alternative and they suffer from providing independent index for each alternative. For example, AHP/FAHP provides relative importance weight of each criteria/alternative based on pairwise comparison . TOPSIS provides a closeness index based on distance of each alternative from negative and positive ideal solutions. These values are relative/comparative and don't show the exact/independent alternative score/index. It means calculation of the final score for each alternative depends on the behaviour of the other alternatives.

Fuzzy Inference System doesn't suffer from this issue.

Again, it all depends on your problem charechtristics.

Hope that helps.

Thank you Prof. Amir Hossein Azadnia for your nice suggestion.

Dear Amir

SIMUS provides both, the score of each alternative and the ranking, as well as the degree of compliance with each criterion

Choose the best fit method that reflects your problem description. All the methods have pros and cons

Dear Hamit

You are absolutely correct. All methods have pros and cons, no exception, however, perhaps one of the most important PROS is ther ability to model a problem with as reasonable resemblance or, as you say, the problem description

Suggest reviewing this paper for MCDM methods:

https://www.sciencedirect.com/science/article/abs/pii/S092583881732827X