rough fuzzy set theory
Diagnosis of Cancer using Fuzzy Rough Set Theory
... A hybrid intelligent classification model for medical data consists of Fuzzy Min–Max Neural Network [11], Regression tree and the Random Forest algorithm [11]. Regression tree [11] is operated by building a number ...
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Covering-Based Grade Rough Fuzzy Set Models
... the fuzzy set theory and the rough set model have strong complementarity to each other as mathematical tools to describing and handling uncertain ...knowledge. Rough set ...
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Rough Filters in 𝐵𝐿 Algebras
... The rough sets theory introduced by Pawlak 13 has often proved to be an excellent mathematical tool for the analysis of a vague description of objects called actions in decision ...by rough sets ...
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Fuzzy-Rough Set Bireducts for Data Reduction
... of rough sets is largely the result of a series of desirable theoretical ...traditional rough set theory is that it can only be applied to crisp or discrete-valued ...is ...
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A note on inequalities and critical values of fuzzy rough variables
... the fuzzy set of a fuzzy event can be given, which can be seen as a fuzzy rough ...of fuzzy rough sets by constructing a pair of upper and lower approximation operators of ...
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Autonomous clustering using rough set theory
... data set into classes such that within-class homogeneity is high and between-class homogeneity ...and fuzzy c-means clustering, carry a number of inherent problems that directly influence the clustering ...
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Performance Enhancement of Robust Rough Fuzzy Clustering using Silhouette Index
... a set of relevant and nonredundant genes from microarray ...information theory offers many more measures such as the f-information measures that may be suitable for selection of genes from microarray gene ...
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Vol 2, No 8 (2011)
... viz., theory of probability, theory of fuzzy sets, theory of intuitionistic fuzzy sets, theory of vague set, theory of interval mathematics, theory of ...
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Rough-fuzzy rule interpolation
... of fuzzy sets [20] ...conventional fuzzy set theory as a basis for the underlying representations [21] ...defining fuzzy sets, it is sometimes extremely difficult, if not impossible, to ...
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Online Full Text
... The theory of rough sets has been specially designed to handle data imperfections same as in fuzzy ...logic. Rough sets remove superfluous information by examining attribute ...to set ...
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A Distributed Clustering Approach for Heterogeneous Environments Using Fuzzy Rough Set Theory
... Vast majority of data mining algorithms have been designed to work on centralized data, unfortunately however, almost all of nowadays data sets are distributed both geographically and conceptually. Due to privacy and ...
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An Agent-based Performance Evaluation System
... on fuzzy partial ordering and rough set theory was proposed ...a fuzzy partial rank ...by fuzzy partial ordering and rough sets strategy. The fuzzy methods are ...
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The Application of Fuzzy-Rough Set Decision Tree for Credit Rating
... . Fuzzy theory can increase endurance when performing classification of new cases in a decision tree .... Fuzzy logic led to improvements in this aspect because the elasticity of fuzzy sets ...
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HRNeuro-fuzzy: Adapting neuro-fuzzy classifier for recurring concept drift of evolving data streams using rough set theory and holoentropy
... predefined set of data classes and data ...The fuzzy system is one of the most frequently used tasks for classification which is employed to describe the feature space and maintain fuzzy region with ...
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EEG Signal Classification Using Fuzzy-Rough Nearest Neighbours (FRNN) Model For Person Authentication
... as fuzzy set theory and rough set theory are needed to classify the ...of fuzzy set theory, rough set theory and KNN called ...
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On bipolar fuzzy rough continuous functions
... the theory of rough ...compared fuzzy rough set models and fuzzy topologies on a finite ...on rough sets. Rough topology in terms of rough sets was ...
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An Innovative Approach for Attribute Reduction in Rough Set Theory
... the Fuzzy Set theory [9], the Dempster-Shafer theory [10] [11], and the possibility theory ...another theory emerged for treating such kind of information, the Rough ...
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OWA-FRPS : a prototype selection method based on ordered weighted average fuzzy rough set theory
... OWA fuzzy rough set model, called ...training set that improves the classification of the NN classifier, OWA-FRPS ranks the instances according to a OWA fuzzy rough measure, and ...
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Fuzzy Boundary Attribute Transformation in Databases
... 245 Fuzzy Logic has also been applied for decision making. Fuzzy Logic has been combined with many other techniques including soft set theory, data mining, rough sets, data warehousing ...
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Quality, frequency and similarity based fuzzy nearest neighbor classification
... The remainder of this paper is structured as follows: In Section II, we briefly discuss related work on nearest neighbor classification. In Section III, we first discuss how we can measure the quality of instances using ...
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