What should be the reason for exact opposite ranking by two different MCDM technique? In my problem the best alternative comes out as the worst with other technique.
Shweta Singh it seems that software you are using for formulating your problem, is not interpreting the logic of algorithm being provided by you. Methodology you opted can be true, logical deduction and syntax of software used is not appropriate, please go through your modelling logic.
Firstly, In any mcdm methods, the ranking of alternatives come after normalisation the dataset. Several techniques founded for normalisation the criteria. Criteria may be are cost criterion or benefit criterion and each one has a special way to normalise.
The second important thing that you asked for, some of the mcdm method give you the result to be order 1 is the worst and so on. Its designed to be in such way.