TOPSIS Method and Fuzzy Rules on the Decision Making Based

Abstract

In recent times, the development of the TOPSIS method in complex and different directions allowes people to work more efficiently in various fields. As an example of these areas, in the processing, analysis and application of big data, we can show the selection of the best ones according to all possible parameters of web browsers, the selection of the most important skills of managers, the selection of the most suitable students for the majors, etc. The realization of such works has a positive effect on people in terms of time and choice. With the help of TOPSIS, it is possible to choose the closest to the ideal among them, while being able to evaluate the possible parameters of various nature, which are considered to be modern problems, without clear information. That is, the better one is chosen from the given alternatives. Although these methods and rules make people's work easier, on the other hand, they also present problems related to managing uncertainties. Thus, information that is unknown to us, that is, inaccurate or uncertain, cannot be managed simply by TOPSIS. Therefore, it is necessary to apply the TOPSIS method not alone, but with fuzzy rules. That is, after adopting fuzzy values for alternatives and criteria, a suitable mathematical model is created.