## 5 Results  
The methodology was applied to determine the level of acceptance for the inclusion of different issues in a hypothetical EU ecolabel for FAPs, as well as to prioritize them in terms of acceptance for inclusion. After the application of the first three steps of the methodology, we obtained the mean CVs for each type of information and segment of analysis. Table 4 presents the TFNs and the CVs for the total of the sample and the governmental intervention segments, while Table 5 presents the same information for the stakeholders' segments. The results indicate that in all cases, the lowest value was assigned to include only environmental issues in the ecolabels, indicating that ecolabels should include not exclusively environmental issues but also other types of information. Amongst them, the most important for the total of the sample surveyed was social and ethical issues, followed, in order, by animal welfare issues, health and safety issues and food quality issues. \begin{table}
\begin{tabular}{c c c c c c c c} \hline \hline
**Attributes** & \multicolumn{2}{c}{**Total**} & \multicolumn{2}{c}{**Gov. Intervention (No)**} & \multicolumn{2}{c}{**Gov. Intervention (OK)**} & \multicolumn{2}{c}{**Gov. Intervention (Yes)**} \\ \cline{2-7}  & **TFN** & **CV** & **TFN** & **CV** & **TFN** & **CV** & **TFN** & **CV** \\ \hline Only environmental issues & (30.76, 42.80, 57.27) & 43.41 & (27.14, 38.44, 54.81) & 39.71 & (28.14, 40.17, 57.29) & 41.44 & (32.36, 44.61, 57.97) & 44.89 \\ Social and ethical issues apart from environmental issues & (50.00, 66.29, 76.90) & 64.87 & (40.39, 54.81, 68.83) & 54.71 & (45.25, 61.69, 74.58) & 60.81 & (53.76, 70.55, 79.70) & 68.64 \\ Food quality issues apart from environmental issues & (43.39, 58.38, 70.05) & 57.55 & (32.99, 46.36, 62.08) & 46.95 & (38.31, 51.69, 66.10) & 51.95 & (47.45, 63.25, 73.17) & 61.78 \\ Health and safety issues apart from environmental issues & (45.09, 60.27, 71.62) & 59.31 & (35.71, 49.87, 64.42) & 49.97 & (39.66, 54.75, 68.81) & 54.49 & (48.93, 64.43, 74.28) & 63.02 \\ Animal welfare issues apart from environmental issues & (46.83, 63.29, 74.52) & 61.98 & (99.22, 54.55, 68.70) & 54.25 & (40.34, 56.61, 70.34) & 55.97 & (50.41, 67.23, 77.08) & 65.49 \\ \hline \hline \end{tabular} Source: Own elaboration.  
\end{table} 
Table 4: Triangular fuzzy numbers (FFNs) and crisp values (CVs). Total and governmental intervention segments of analysis. \begin{table}
\begin{tabular}{c c c c c c c c c} \hline \hline
**Attributes** & \multicolumn{2}{c}{**Consumes**} & \multicolumn{2}{c}{**Ecololololololololololumn{2}{c}{**Lougal Ownes**}} & \multicolumn{2}{c}{**Producers**} & \multicolumn{2}{c}{**Retailers or Suppliers**} & \multicolumn{2}{c}{**Gov/Public/Research**} \\ \cline{2-9}  & **TFN** & **CV** & **TFN** & **CV** & **TFN** & **CV** & **TFN** & **CV** \\ \hline Only environmental issues & (30.28, 42.32, & 42.94 & (15.00, 2.30), & 26.75 & (330.6, 45.32, & (32.04, 5.09) & (311, 42.83), \\  & 56.85) & & 46.00 & & 58.06 & & 59.82 & & 57.27) & 43.51 \\ Social and ethical issues apart from & (52.32, 68.95, & (50.50, 50.00) & & (48.23, 64.68, & (48.00, 63.64, & (49.49, 65.56, & 64.34) \\ environmental issues & 78.78) & 67.25 & 65.00 & & 72.84 & & 72.84) & 62.68 & 76.77) & 64.34 \\ Food quality issues apart from & (44.86, 60.22, & (17.00, 25.00, & & (51.61, 68.23, & (39.45, 54.55, & (40.40, 54.34, & (40.40, 54.34, & \\ environmental issues & 71.10) & 59.10 & 48.00 & & 27.758) & 66.41 & (68.00) & 54.14 & 66.77) & 53.96 \\ Health and safety issues apart from & (46.13, 61.55, & 60.43 & (27.00, 37.00, & & (51.45, 68.55, & (41.27, 56.36, & (413.57, 27.5) \\ environmental issues & 72.49) & 56.00 & & 77.42) & 66.49 & (69.82) & 55.95 & (43.13, 57.27, & (56.67) \\ Animal welfare issues apart from & (49.28, 66.46, & (90.39, 9.00) & 41.25 & (46.13, 61.77, & (44.73, 62.91, & (47.56, 61.11, & (45.76, 61.1, & \\ environmental issues & 76.35) & 64.64 & 58.00 & & 73.06) & 60.69 & (47.35, 69.1) & 61.41 & (73.40) & 60.35 \\ \hline \hline \end{tabular} Source: Own elaboration.  
\end{table}