A FUZZY SCALE APPROACH TO THE THOR ALGORITHM

The use of the Multicriteria Decision Support Hybrid Algorithm for Making Processes with Discrete Alternatives, acronym THOR, requires from decision maker, during judgment insertion stage, a significant amount information that needs to be valued, which may cause maker great cognitive fatigue. Therefore, this article aims reformulate THOR algorithm, in based on inclusion fuzzy measurement scale, allowing express only single value judgment. This reformulation follows three steps system: fuzzification, inference and defuzzification. In addition, comparative analysis is performed between algorithm its new version construction scale. It should noted does not compromise methodological efficiency it reduces complexity making.