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Thus, we cluster the samples based on the subregions determined by using rough sets.
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Future research will explore methods to improve the overall classifier performance and address this diversity by building localized models for patient subgroups using rough sets concepts to group patients with similar differentiating characteristics.
Using Rough Set Theory, the inherent uncertainty and vagueness in the relay event report have been resolved using the concepts of discernibility, elementary sets and set approximations.
Here, the updating behaviour of membership function and rules are performed using rough set theory and holoentropy function.
In [ 8], the authors also used rough sets for gene selection.
In [ 9], the authors used rough sets to handle the same dataset as that considered in the present study.
In the training of the primary recognition, samples are clustered by using rough k-means.
Therefore, it is thought that primary stability becomes more stable by using rough-surface implants.
In the former step, the rough k-means classifier is proposed to cluster the samples of radar emitter signals by using the rough set theory.
The suitable probabilistic thresholds having some level of error tolerance are evaluated in relevance to the data by using decision-theoretic rough set (DTRS) model, Bayesian rough set (BRS) model, variable precision rough set (VPRS) model, game-theoretic rough set (GTRS) model (Yao 2007; Śle et al. 2005; Ziarko 1993; Herbert and Yao 2011; Azam and Yao 2014).
Likely optimal features are selected from these fuzzified features using neighborhood rough sets, which utilize the neighborhood relative information.
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