As high number of factors increase pairwise comparison and applying AHP or ANP increasing the number of questions in survey questionnaire, so which method is suitable in this circumstances?
Don't make pair-wise comparisons
Just evaluate each criterion independently, in a 1 to 10 scale, but of course, you must have the initial dcision matrix, or still better, use entropy
One possible method to reduce the number of questions when dealing with a high number of factors and sub-factors in MCDM is to use factor analysis or principal component analysis (PCA). These methods can help identify underlying factors or dimensions that explain the correlations and patterns in the data. By grouping together related factors or sub-factors into these underlying dimensions, the number of pairwise comparisons needed can be reduced, thus reducing the number of questions in the questionnaire.
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