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We want the DSS to align with the various MCDA options that exist. Currently, there seem to be a few misalignments or misinterpretations.
1. It seems that sampling_mode is only used when weight_mode=="group". How to also use it for guiding the sampling of criteria values?
2. Support qualitative criteria by allowing to convert them to ordinal numbers (predefined).
3. Allow for ordinal ranking of groups and criteria (not only pairwise preferences). In the background, the ranking can still be translated to pairs (assuming an intensity of 1).
4. Introduce a new weight_mode, wher the user can specify a weight for each criterion. The exisiting weight_mode=="flat" automatically gives all criteria the same weight.
5. Don't ask the user to enter alpha and n_samples values.
6. Check if the group weights are needed when the sampling_mode=="random"?
These six items can be addressed by changing the MCDA functions, or the code related to the user forms.
We want the DSS to align with the various MCDA options that exist. Currently, there seem to be a few misalignments or misinterpretations.
These six items can be addressed by changing the MCDA functions, or the code related to the user forms.