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

  • Biplab PaikEmail author
  • Shyamal Kumar Mondal
Methodologies and Application
  • 14 Downloads

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.

Keywords

Fuzzy set Fuzzy soft set Distance measure Similarity measure Decision-making problem 

Notes

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Applied Mathematics with Oceanology and Computer ProgrammingVidyasagar UniversityMidnaporeIndia

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