Publisher’s Note

Abstract

The economic importance of the selection of alternative energies in the national scenario tends to be maintained with the optimistic forecast of an increase in production for the years to come in Tunisia. The problem of choosing multiple attributes for the selection of renewable energies is a set of concepts whose purpose is to help the user in a decision-making process. This help provided to the user is designed to be the most online with his preferences. The objective of this study is to answer the following question: How to decide to determine the optimal alternative energies from a large set of available outcomes for this case study according to the decision maker’s preferences? The purpose of this article was to solve multi-attribute choice problems by simultaneously using the choice to essentially define comparative superiority, inferiority, and the flow of non-inferiority as indicators of goodness/poverty evidence. We have developed a new method called Multi-Attribute Superiority, Inferiority and Non-Inferiority Selection Approach (MASINISA) based on the successive elimination Multi-Attribute Decision Making (MADM) to solve the selection of renewable energies in a certain environment: the case of the STEG Company in Tunisia. We can ascertain that the renewable energy technologies belonging to the screened set produced by the proposed MASINISA version were all judged admissible by the experts of the STEG.