2. **Data cleaning**

As with the first workshop, there was a set of typical errors and inconsistencies observed in the raw user inputs, a more detailed overview of which can be found in Reference [12]. One should stress that these did not represent meaningless data noise but rather comprehensible deviations which could be corrected in a logical manner. These were dealt with by applying the previously developed automatic workflow which cleaned the inconsistencies.

3. **Mathematical aggregation**

In the current use case, one aims to generate a single solution space based on the evaluations of all experts. Hence, it is necessary to combine their input. During the workshop, behavioral knowledge aggregation took place in the form of group discussions. The post-processing involves mathematical aggregation of the DMs' opinions. For this purpose, the fuzzy comparisons of the same options according to the same criteria but from different experts are combined with a geometric mean.

4. **Option weights**

The aggregated fuzzy comparisons are then used as input to the FAHP algorithm by Buckley [48] in order to obtain the fuzzy option weights regarding to the criteria of the level above.

5. **Defuzzification**

At this stage, the AMA accepts only crisp (real) numbers for option evaluations. For this reason, the fuzzy option weights are defuzzified by using the center of gravity method analogically to the first workshop [12].

6. **Solution space generation**

The AMA then combines the option weights into solutions and generates the solution space, which is analyzed in more detail.
