“…The affirmation, negation, and hesitation cardinalities of N β C can also be defined as follows: [20] to IF β-neighborhood systems as follows. …”
Section: Article In Pressmentioning
confidence: 99%
“…The IF rough entropy for IF granular structures [20] is generalized to IF granular structures to characterize the uncertainty of an IF βneighborhood approximation space as follows. …”
Section: We Generalize Huang Et Al's If Information Entropy For If Bmentioning
confidence: 99%
“…Exploring rough sets from the perspective of multi-granulation represents a promising direction in rough set theory, where concepts are approximated by multiple granular structures represented by binary relations [20,29,43,47] . In the literature, the uncertainty measures of the multi-granulation approximation space are studied [20] .…”
Section: Multi-granulation If Rough Sets Based On If Graded Neighborhoodmentioning
confidence: 99%
“…In the literature, the uncertainty measures of the multi-granulation approximation space are studied [20] . In this section, we investigate the distance-based uncertainty measures for a multi-granulation IF β-neighborhood approximation space and discuss the multi-granulation IF rough sets based on IF graded neighborhood.…”
Section: Multi-granulation If Rough Sets Based On If Graded Neighborhoodmentioning
confidence: 99%
“…Yang et al [63] generalized the MGRS model into a fuzzy environment. Huang et al [20,21] examined multigranulation IF approximation, IF rough sets, and their matrix-based reduction methods.…”
“…The affirmation, negation, and hesitation cardinalities of N β C can also be defined as follows: [20] to IF β-neighborhood systems as follows. …”
Section: Article In Pressmentioning
confidence: 99%
“…The IF rough entropy for IF granular structures [20] is generalized to IF granular structures to characterize the uncertainty of an IF βneighborhood approximation space as follows. …”
Section: We Generalize Huang Et Al's If Information Entropy For If Bmentioning
confidence: 99%
“…Exploring rough sets from the perspective of multi-granulation represents a promising direction in rough set theory, where concepts are approximated by multiple granular structures represented by binary relations [20,29,43,47] . In the literature, the uncertainty measures of the multi-granulation approximation space are studied [20] .…”
Section: Multi-granulation If Rough Sets Based On If Graded Neighborhoodmentioning
confidence: 99%
“…In the literature, the uncertainty measures of the multi-granulation approximation space are studied [20] . In this section, we investigate the distance-based uncertainty measures for a multi-granulation IF β-neighborhood approximation space and discuss the multi-granulation IF rough sets based on IF graded neighborhood.…”
Section: Multi-granulation If Rough Sets Based On If Graded Neighborhoodmentioning
confidence: 99%
“…Yang et al [63] generalized the MGRS model into a fuzzy environment. Huang et al [20,21] examined multigranulation IF approximation, IF rough sets, and their matrix-based reduction methods.…”
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.