This study deals about decision-making with replicated and inconsistent data, relating to the universe of Human Resources, within a domestic financial institution. Replication occurs because of technical and/or economic questions, and seeks to meet corporate and departmental requirements of such an institution. As research methodology, direct observation of such inconsistencies was used as well as a simulation based on actual data which would reflect replication with inconsistencies. The authors introduce an application of a multi-criteria method to render the decision-making process rational, and was transformed into an element that stimulated this study. The method used was the Rough Set Theory (RST). An algorithm was developed to indicate the equivalence relations, lower and higher approximations, borderline region, accuracy measure, reducts and core and was subsequently implemented into a software.
decision-making; inconsistency; rough set theory
