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.
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Paik, B., Mondal, S.K. A distance-similarity method to solve fuzzy sets and fuzzy soft sets based decision-making problems. Soft Comput 24, 5217–5229 (2020). https://doi.org/10.1007/s00500-019-04273-z
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DOI: https://doi.org/10.1007/s00500-019-04273-z