Parametric Directed Divergence Measure for Pythagorean Fuzzy Set and Their Applications to Multi-criteria Decision-Making
Nikunj Agarwal ()
Additional contact information
Nikunj Agarwal: JSS Academy of Technical Education
A chapter in Pythagorean Fuzzy Sets, 2021, pp 65-81 from Springer
Abstract:
Abstract PFS (Pythagorean Fuzzy Set), extension of IFS (Intuitionistic Fuzzy Set), is basically more capable in uncertain, vague, or imprecise situation. That’s why it is being broadly applied in various realistic problems like pattern recognition, medical diagnosis, etc. On account of this point, a new generalized parametric divergence measure of order $$ \alpha $$ α and degree $$ \beta $$ β under the environment of PFSs has been investigated in this work. Some desirable properties of this measure are also being studied. Additionally, an algorithm based on the measure under PFSs is provided along with an illustration of decision-making problem.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-16-1989-2_3
Ordering information: This item can be ordered from
http://www.springer.com/9789811619892
DOI: 10.1007/978-981-16-1989-2_3
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().