# Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites
## 4 Discussion  
The evaluation of the environmental websites, especially the evaluation of websites of NPs, is very important to confirm that they meet their goals and manage to promote environmental education. Moreover, good websites and good social media exposure are important factors stimulating tourism development in NPs, which raises the awareness of the PA and the whole region [5]. Environmental websites have been evaluated before using MCDM models [9; 14]. Table 6 shows the different evaluation experiments that involve websites of NPs, the countries that they involve, the MCDM models that are used if they present a comparison between MCDM models, and whether they have undergone a sensitivity analysis. The websites of NPs in Greece have been evaluated by [PERSON] et al. [16], [PERSON] et al. [9], and [PERSON] [14]. The websites of NPs in both Greece and Italy have been evaluated in [PERSON] et al. [22]. In that paper, conclusions have been drawn by comparing the electronic presence of NPs in two neighboring countries using a combination of AHP & PROMETHEE II. A more thorough study on the NPs in Italy is implemented in the current experiment. Furthermore, PROMETHEE II is compared with SAW, WPM and TOPSIS as far as their combination with AHP is concerned. However, the main difference between the current study and the previous studies except for the country of the NPs is concerning the comparison of PROMETHEE II with SAW, WPM or TOPSIS, and the sensitivity analysis that is performed. Previously, PROMETHEE II has only been combined with SAW, and this comparison did not involve the implementation of a sensitivity analysis. Therefore, the comparison was not thorough and did not involve evaluation or comparison of the robustness of the models used. The comparison of a model with other available models is rather important because different methods can produce different results while being applied to an identical problem. As a result, researchers in the field [47; 48] consider it important to examine the compatibility of different multi-criteria decision-making methods with a particular type of decision problem. The comparison of MCDM models has been proved essential in order to decide whether the model used in each purpose is the most appropriate. Therefore, different studies have applied different MCDM models to the same problem and compared the obtained rankings [19; 21; 25; 49; 50; 51; 52; 53; 54; 55; 56; 57; 58]. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Evaluation Experiment** & **Country** & **MCDM Model** & **Comparison with Other Models** & **Sensitivity Analysis** \\ \hline [PERSON] et al. 2018 & Greece & - & - & - \\ \hline [PERSON] et al. 2019 & Greece & AHP & - & - \\ \hline [PERSON] \& [PERSON] 2020 & Greece & AHP \& VIKOR & - & - \\ \hline [PERSON] et al. 2021 & Greece \& Italy & \
\begin{tabular}{c} AHP \& \\ PROMETHEE II \\ \end{tabular} & SAW & - \\ \hline Current study & Italy &
\begin{tabular}{c} AHP \& \\ PROMETHEE II \\ \end{tabular} & SAW \& WPM \& TOPSIS & \(\surd\) \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Evaluation experiments of the websites of national parks. PROMETHEE II has been compared with TOPSIS, VIKOR, AHP, Entropy, and ELECTRE [48; 59; 60; 61] in different domains. Regarding the comparison of PROMETHEE II with the TOPSIS, SAW, and WPM models described in this paper, a comparison of PROMETHEE II with SAW was implemented before [21] by [PERSON] et al. [62] for making decisions for employee placement. PROMETHEE II has also been compared with both SAW and WPM for evaluating different energy scenarios [63]. Similarly, PROMETHEE II has been compared with TOPSIS in several domains [64] e.g., for the evaluation of tool holders in hard milling [60] and for pipe material selection in the sugar industry [59]. PROMETHEE II has been compared before with SAW with regard to environmental websites, but the comparison did not involve a sensitivity analysis and, therefore, an evaluation of the robustness of the models.