Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Article type: Research Article
Authors: Athira, T.M.a; * | John, Sunil Jacoba | Garg, Harishb; *
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: athiratm999maths@gmail.com and Harish Garg, School of Mathematics, Thapar Institute of Engineering & Technology, Deemed University Patiala, Punjab, India. E-mail: harishg58iitr@gmail.com, 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
DOI: 10.3233/JIFS-190217
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 3, pp. 4071-4084, 2019
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
sales@iospress.com
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
info@iospress.nl
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office info@iospress.nl
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
china@iospress.cn
For editorial issues, like the status of your submitted paper or proposals, write to editorial@iospress.nl
如果您在出版方面需要帮助或有任何建, 件至: editorial@iospress.nl