Affiliations: [a] Department of Mathematics, National Institute of Technology, Calicut, India
| [b] School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University Patiala, Punjab, India
Correspondence:
[*]
Corresponding author. T.M. Athira, Department of Mathematics, National Institute of Technology, Calicut, India. E-mail: [email protected] and Harish Garg, School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University Patiala, Punjab, India. E-mail: [email protected], URL: http://sites.google.com/site/harishg58iitr/
Abstract: A Pythagorean fuzzy soft set is a parameterized family of Pythagorean fuzzy sets and a generalization of intuitionistic fuzzy soft sets. In this paper, the notions of entropy and distance measures are defined for the Pythagorean fuzzy soft sets (PFSSs). Since, the already existing techniques for finding entropy and distance measures are not working for PFSSs, it is necessary to introduce these techniques in the contest of PFSSs. This work proposes a characterization of the Pythagorean fuzzy soft entropy. Also, the expressions for the standard distance measures like Hamming distance and Euclidean distance are obtained. Further, the applications of PFSSs in decision making problem and pattern recognition problem are discussed. Finally, comparative studies with other existing equations are also carried out.
Keywords: Pythagorean fuzzy soft sets, fuzzy soft sets, entropy, distance measure, decision making problem, pattern recognition problem
