A note on decision making in medical investigations using new divergence measures for intuitionistic fuzzy sets

Document Type : Research Paper

Authors

1 School of Economics Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, Sichuan, China

2 School of Mathematics, Southwest Jiaotong University, Chengdu 610031, Sichuan, China

Abstract

Srivastava and Maheshwari (Iranian Journal of Fuzzy Systems 13(1)
(2016) 25-44) introduced a new divergence measure for intuitionistic
fuzzy sets (IFSs). The properties of the proposed divergence measure
were studied and the efficiency of the proposed divergence measure
in the context of medical diagnosis was also demonstrated. In this
note, we point out some errors in the proving process of two
properties of the proposed divergence measure. Then we give a
modification of the proving process.

Keywords

References

[1] K. T. Atanassov, Intuitionistic fuzzy sets, Fuzzy Sets and Systems, 20 (1986), 87–96.
[2] I. Montes, N. R. Pal, V. Jani˘s, S. Montes, Divergence measures for intuitionistic fuzzy sets, IEEE Transactions on
Fuzzy Systems, 23(2) (2015), 444–456.
[3] A. Srivastava, S. Maheshwari, Decision making in medical investigations using new divergence measures for intu-
itionistic fuzzy sets, Iranian Journal of Fuzzy Systems, 13(1) (2016), 25–44.
Iranian Journal of Fuzzy Systems
Volume 16, Issue 5
September and October 2019
Pages 29-31

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