A Hybrid Model for Decision Making Utilizing TFNs and Soft Sets as Tools

Abstract

Decision making is the process of evaluating multiple alternatives to choose the one satisfying in the best way the existing goals. Frequently, however, the boundaries of those goals and/or of the existing constraints are not sharply defined due to the various forms of uncertainty appearing in the corresponding problems. Since the classical methods cannot be applied in such cases, several methods for decision making under fuzzy conditions have been proposed. In this work a new hybrid decision making method is developed utilizing triangular fuzzy numbers (TFNs) and soft sets as tools, which improves an earlier method of Maji, Roy and Biswas, which uses soft sets only. The importance of this improvement is illustrated by an application concerning the decision for the purchase of a house satisfying in the best possible way the goals put by the candidate buyer.