Artificial Intelligence

   

Divergence Measure of Intuitionistic Fuzzy Sets

Authors: Fuyuan Xiao

As a generation of fuzzy sets, the intuitionistic fuzzy sets (IFSs) have more powerful ability to represent and deal with the uncertainty of information. The distance measure between the IFSs is still an open question. In this paper, we propose a new distance measure between the IFSs on the basis of the Jensen{ Shannon divergence. The new distance measure of IFSs not only can satisfy the axiomatic de nition of distance measure, but also can discriminate the diference between the IFSs more better. As a result, the new distance measure can generate more reasonable results.

Comments: 9 Pages.

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Submission history

[v1] 2018-12-05 00:04:07

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