## 6 Conclusions  
The paper proposed a MCDA modeling named PROMETHEE-SAPEVO-M1. The modeling is a novel approach based on the PROMETHEE methods, integrating the concepts presented in two multi-criteria methods, enabling performing quantitative and qualitative data simultaneously.  
The approach covered a structure composed of five steps, where was integrated an ordinal evaluation into the previous cardinal format of the PROMETHEE method, enabling the evaluation of alternatives regarding criteria based on a qualitative view and performing a pairwise evaluation between the criteria for weight obtaining. Concerning the analysis of the results, four different approaches were carried out, three related to different models of preference analysis based on the outranking flows, and one regarding an intra-criterion analysis by veto threshold, allowing generating more information as a way of supporting the final decision. Even though the veto did not influence the obtaining of the outranking flows, the value indicates degrees of differences that may induce a possible change in the final decision.  
The case study addressed a real-world problem regarding the evaluation of attack helicopters to support the BN operations in search to expose the applicability of the proposed modeling. All the steps of the procedure were detailed, focusing on the performance of ordinal evaluation. In addition to the sensitivity analysis, also, a rank reversal process and comparative analysis were performed in different scenarios, comparing the obtained results concerning the previous evaluation and exposing the robustness of the modeling.  
In search of an expansion of the proposal, a web platform was developed, supporting the implementation of the algorithm and providing its application in different areas of science, by specialists and non-specialists, at operational, tactical, and strategic levels, enabling satisfactory results along with robust analysis, through numerical and graphical presentations.  
It concludes, therefore, that the modeling can be used to solve the most diverse real problems of daily life, thus, being a useful model aimed at the contribution of high-level decision making. Regarding future works, the application of the PROMETHEE-SAPEVO-M1 modeling as an aggregation model in studies based on prospective scenarios and its implementation in other real-world problems is suggested, making it possible to identify some improvements in the axiomatic modeling and its computational platform.  
Conceptualization, M.A.L.M., I.P.d.A.C., M.T.P., M.d.S. and C.F.S.G.; methodology, M.A.L.M., M.d.S. and C.F.S.G.; software, M.A.L.M., M.d.S. and C.F.S.G.; validation, M.A.L.M., I.P.d.A.C., M.T.P., M.d.S. and C.F.S.G.; writing--original draft preparation, M.A.L.M., I.P.d.A.C., M.T.P., M.d.S., C.F.S.G. and F.M.M.; supervision, M.T.P., M.d.S. and C.F.S.G.; funding acquisition, M.T.P. All authors have read and agreed to the published version of the manuscript.  
This research was funded by Centre for Research & Development in Mechanical Engineering (CIDEM), School of Engineering of Porto (ISEP), Polytechnic of Porto, Rua [PERSON], 431 4249-015 Porto, Portugal.  
Not Applicable.  
The authors declare no conflict of interest.