Desarrollo de un sistema de ayuda a la decisión basado en el método topsis

Abstract

In the decision-making process, there are several algorithms that help to choose and select a good decision on multiple evaluation criteria, this implies a great impact, since it determines the expected level of success or failure. Due to the difficulty and complexity involved in applying these algorithms, this becomes a very frequent problem in their elaboration, adding also to the fact that (at the current date of this work) there is no method that guarantees its one hundred percent effectiveness. The objective of this study is to apply the use of the TOPSIS method through the development of a web tool for the identification, evaluation, and demonstration in multiple scenarios of the ideal solution required according to the established criteria. The methodology applied is exploratory, correlational, and explanatory. They were applied to a case study that evaluates a set of microscopic images of bone fracture repair, highlighting the participation of skeletal stem cells, where the result obtained was that the best alternative is neural networks.