## 5 Discussion  
A method based on MCDA concepts requires a set of techniques to enable an evaluation of the real-world problem, where often it is constituted by a lack of data, risk, uncertainty, and divergent opinion [87]. Regarding this context, the proposed modeling by its algorithm aimed to make it possible to take into account the decision-maker subjectivity, always presented regarding the preference of an alternative or the importance of a criterion. The main point of the approach concerns its model of ordinal evaluation, enabling to perform alternatives in a qualitative criterion, and weights obtained. As aborded in [37], there are some studies where the qualitative data in a method is evaluated, and then, the cardinal value is aggregated into another method. Although, the PROMETHEE-SAPEVO-M1 modeling proposed to perform all the processes in unique modeling, enabling an evaluation closer to reality concerning the problem, as addressed in Section 4. Clarifying, the ordinal model approached makes it possible to obtain numerical quantities by specifying preferences between two variables (alternatives or criteria), thus, it is not necessary to indicate a global ordering, but only a relative order or preference between two variables. In a decision-making analysis, the set of criteria weights is one of the main parts of the process by the moment that the weight presents directly influences the final decision suggestion. Regarding the proposed model, the pairwise evaluation is efficient, considering that sometimes it is not easy to set the global importance of a variable [88], provided by a simple set of preferences between two criteria and determining the global importance as a weight. The integration of three models of preference analysis brings a robust format for the proposed model. It is common to find studies performing the partial and complete out-ranking together, the PROMETHEE I and PROMETHEE II methods, respectively, although it was not identified in the literature the integration of analysis using the outranking by intervals (PROMETHEE III). The model proposed enabled the sensitivity analysis, evaluating the performance of the alternatives in different models of manipulation and comparing them in the search to obtain a final decision based on the inter-criterion and intra-criterion analysis. The development of a proposal along with a computational tool brings gains for implementation and expansion regarding applications by other researchers, presenting a simple interface of data input and generating a robust analysis of results. It is a fact that the software implementation is the last step of a decision-making process [89], but essential for an efficient evaluation along with its graphical representation of results. Based on [13], technological support can improve the comprehensibility of the decision recommendation through an advanced exploration of the results and graphic resources. Regarding the case study approached, it was possible to understand the problem and structure concerning the achievement of previously identified objectives. The evaluation based on the PROMETHEE-SAPEVO-M1 modeling enabled the outranking of alternatives, not only considering the best option but taking into account a second or third favorable alternative for implementation in BN operations, also allowing considering the employment