# Sensitivity Analysis of PROMETHEE II for the Evaluation of Environmental Websites
## 5 Conclusions  
In this paper, we use MCDM models for combining the criteria that are involved in the evaluation of the content of environmental websites. MCDM models such as VIKOR, have been applied in the past for combining evidence of the evaluation of environmental websites [14]. In this paper, we presented how PROMETHEE II can be combined effectively with other MCDM models for website evaluation, and we then ran a sensitivity analysis. PROMETHEE II is recent outranking method that proved to be effective for ranking alternatives. The theory performs the ranking of alternatives while considering several conflicting criteria [70]. Its advantage is that it is easy to use. It does not require the assumption that the criteria are proportionate. The disadvantages are that it does not provide a clear method by which to assign weights and it requires the assignment of values [21]. For this reason, we combined PROMETHEE II with AHP. Taking into account the results of the evaluation of the websites, PROMETHEE II proved to be both easy to implement and effective. However, in order to see whether the ranking provided by PROMETHEE II was correct and resembled other MCDM models, we conducted a comparative analysis. The main contribution of the paper is on comparing PROMETHEE II with three other common MCDM models. As a result, conclusions that involve the appropriateness of PROMETHEE II for the ranking of environmental websites as well as the robustness of the different MCDM models were discussed in the current paper. The comparison of PROMETHEE II with other methods such as SAW, WPM, and TOPSIS provided evidence for the effectiveness of PROMETHEE II. As [PERSON] & [PERSON] [21] point out, many researchers use TOPSIS to confirm the answers proposed by other MCDM methods. In our study, the three MCDM models that are compared with PROMETHEE II confirmed that PROMETHEE II is effective in providing a good ranking. In order to see if PROMETHEE II was better than the other MCDM models, we proceeded to a sensitivity analysis. This kind of analysis sought to determine how the modifications of independent variables, such as criteria values or their weights, affected the outcome of the model. A particular analysis was performed to check the influence of the weighting of the criteria in the final ranking. The sensitivity analysis proved that PROMETHEE II is more robust than SAW, WPM and TOPSIS and less affected by changes in weights or values of the criteria. The results were more consistent throughout the different weighting schemes. PROMETHEE II provides a good ranking of the alternative environmental websites and is less affected by the subjectivity of expert users compared to the other MCDM models. Consequently, PROMETHE II is preferred for the evaluation of environmental websites over SAW, WPM or TOPSIS. The results of the PROMETHE II model as well as the other three models revealed that the electronic presence of NPs is mediocre. Findings are in agreement with those of similar studies [2,14,16,22] and confirm that internet technologies' adoption in NPs is still at an initial level. A research limitation of the study was the sample of the decision makers. Although the decisionmakers are experts and the evaluation experiment is an inspection evaluation, an empirical evaluation with the participation of many real potential users may have provided better results and more conclusions regarding the electronic presence of NPs in Italy. Furthermore, the sensitivity analysis could include more weighting schemes and, therefore, provide more conclusions regarding the consistency of the methods. Taking into account the limitations of the current study, we intend to implement an empirical evaluation with the participation of many real potential users and not just experts. Furthermore, a comparative study with more MCDM models could be implemented. The comparative analysis could reveal if the selection of the MCDM model may differentiate the ranking results or not.