PROMETHEE-SAPEVO-M1 a Hybrid Approach Based on Ordinal and Cardinal Inputs: Multi-Criteria Evaluation of Helicopters to Support Brazilian Navy Operations

• Published in: Algorithms 2021-05, Vol.14 (5), p.140
• Main Authors: Moreira, Miguel Ângelo Lellis, de Araújo Costa, Igor Pinheiro, Pereira, Maria Teresa, dos Santos, Marcos, Gomes, Carlos Francisco Simões, Muradas, Fernando Martins
• Format: Article
• Language: English
• Subjects: Armed forces; Attack helicopters; Case studies; Decision analysis; Decision making; decision support systems; Defense; Methods; military aircraft; Military helicopters; Modelling; multi-criteria decision analysis; Multiple criterion; Navy; Preference analysis; Preferences; PROMETHEE method; Qualitative analysis; Sovereignty
• ISSN: 1999-4893; 1999-4893
• DOI: 10.3390/a14050140

This paper presents a new approach based on Multi-Criteria Decision Analysis (MCDA), named PROMETHEE-SAPEVO-M1, through its implementation and feasibility related to the decision-making process regarding the evaluation of helicopters of attack of the Brazilian Navy. The proposed methodology aims to present an integration of ordinal evaluation into the cardinal procedure from the PROMETHEE method, enabling to perform qualitative and quantitative data and generate the criteria weights by pairwise evaluation, transparently. The modeling provides three models of preference analysis, as partial, complete, and outranking by intervals, along with an intra-criterion analysis by veto threshold, enabling the analysis of the performance of an alternative in a specific criterion. As a demonstration of the application, is carried out a case study by the PROMETHEE-SAPEVO-M1 web platform, addressing a strategic analysis of attack helicopters to be acquired by the Brazilian Navy, from the need to be evaluating multiple specifications with different levels of importance within the context problem. The modeling implementation in the case study is made in detail, first performing the alternatives in each criterion and then presenting the results by three different models of preference analysis, along with the intra-criterion analysis and a rank reversal procedure. Moreover, is realized a comparison analysis to the PROMETHEE method, exploring the main features of the PROMETHEE-SAPEVO-M1. Moreover, a section of discussion is presented, exposing some features and main points of the proposal. Therefore, this paper provides a valuable contribution to academia and society since it represents the application of an MCDA method in the state of the art, contributing to the decision-making resolution of the most diverse real problems.