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Inclusion measure and its use in measuring similarity and distance measure between hesitant fuzzy sets | IEEE Conference Publication | IEEE Xplore

Inclusion measure and its use in measuring similarity and distance measure between hesitant fuzzy sets


Abstract:

In this paper, we propose a variety of inclusion measures for hesitant fuzzy sets (HFSs), based on which the corresponding similarity and distance measures can be obtaine...Show More

Abstract:

In this paper, we propose a variety of inclusion measures for hesitant fuzzy sets (HFSs), based on which the corresponding similarity and distance measures can be obtained. First, we investigate the hybrid monotonic inclusion measures between two hesitant fuzzy elements (HFEs) and present their properties. Second, the hybrid monotonic inclusion measure between two HFSs are proposed. Furthermore, similarity measures and distance are postulated by inclusion measures. Last, numerical examples are provided to illustrate the inclusion measures, similarity measures and distance.
Date of Conference: 13-15 December 2013
Date Added to IEEE Xplore: 17 February 2014
Electronic ISBN:978-1-4799-1282-7
Conference Location: Beijing, China

References

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