Abstract. Feature selection refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encountered in many areas such as machine...
We present GLinClosure, a graded extension of the well-known LinClosure algorithm. GLinClosure can be used to compute degrees of semantic entailment from sets of fuzzy attribute i...
Abstract— Centroid, cardinality, fuzziness, variance and skewness are all important concepts for an interval type-2 fuzzy set (IT2 FS) because they are all measures of uncertaint...
A rough self-organizing map (RSOM) with fuzzy discretization of feature space is described here. Discernibility reducts obtained using rough set theory are used to extract domain k...
—The emerging biometric cryptography has gained significant interests for key management and privacy protection, but the previously proposed schemes using set metrics for finge...