A distance-similarity method to solve fuzzy sets and fuzzy soft sets based decision-making problems

Abstract

Similarity measure plays an important role in fuzzy environment. Motivating from usual Euclidean distance measure, it introduces a new distance-similarity approach to get a solution of a fuzzy sets and fuzzy soft sets based maximization decision-making problems. Also, three algorithms have been proposed connected to fuzzy sets and fuzzy soft sets. Then using these algorithms, different types of decision-making problems can be solved. To check the efficiency of our approach, we consider an example and solve it by different existing methods, and the results are compared.