Fuzzy soft set based decision making: a novel alternative approach

We take advantage of a recent development in Social Choice in order to propose a new algorithm for the prioritization of objects characterized by fuzzy soft sets. It benefits from the performance of an endogenous scoring rule recently proposed by Herrero [1]. Our procedure constructs a “comparison matrix” and grades the objects according to the corresponding component of an eigenvector associated with its dominant eigenvalue. This eigenvector can be easily calculated because the dominant eigenvalue is computed directly from the size of the tabular representation of the problem.