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Parametric Directed Divergence Measure for Pythagorean Fuzzy Set and Their Applications to Multi-criteria Decision-Making

In: Pythagorean Fuzzy Sets

Author

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  • Nikunj Agarwal

    (JSS Academy of Technical Education)

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.

Suggested Citation

  • Nikunj Agarwal, 2021. "Parametric Directed Divergence Measure for Pythagorean Fuzzy Set and Their Applications to Multi-criteria Decision-Making," Springer Books, in: Harish Garg (ed.), Pythagorean Fuzzy Sets, pages 65-81, Springer.
    • Handle: RePEc:spr:sprchp:978-981-16-1989-2_3
    DOI: 10.1007/978-981-16-1989-2_3
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