Neutrosophic AHP for the prioritization of requirements for a computerized facial recognition system

Abstract

The Cooperative of Taxis and Vans of Puyo in Ecuador is dedicated to the transportation of people and minor loads.
Due to the considerable number of members of this cooperative, it is difficult to determine the presence of each of the
participants in the meetings. That is why it was decided to implement a facial recognition system that allows identifying the
presence of members in each moment. However, in order to apply this system, certain requirements are needed for guaranteeing
its success. This paper aims to apply the neutrosophic Analytic Hierarchy Process (NAHP) technique for analyzing the
prioritization of requirements necessary to implement a facial recognition system in the cooperative. Neutrosophic AHP permits
including the indetermination incorporated in neutrosophic models and additionally experts can provide their evaluations based
on linguistic terms, which results in greater ease and effectiveness to evaluate.