Fuzzy rough set theory
OWA-FRPS : a prototype selection method based on ordered weighted average fuzzy rough set theory
... developing fuzzy rough feature se- lection [11] algorithms, there is not much literature on fuzzy rough PS ...Nevertheless, fuzzy rough set theory [12] is a good ...
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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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A Distributed Clustering Approach for Heterogeneous Environments Using Fuzzy Rough Set Theory
... The second type of instances that our algorithm avoids sending them to the central location is boundary instances. Boundary instances are in the boundary of clusters where the clustering algorithm has the low uncertainty ...
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HRNeuro-fuzzy: Adapting neuro-fuzzy classifier for recurring concept drift of evolving data streams using rough set theory and holoentropy
... neuro fuzzy system by the bell shaped membership func- ...the rough set theory was used in this paper to estimate the accuracy of approximation of the data ...neuro fuzzy system was ...
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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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Predictive modeling for telco customer churn using rough set theory
... Rough set has been used worldwide in numerous applications, including feature selection [11], stock market prediction [12] and hybridisation with fuzzy ...set. Rough set has ...
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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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A fuzzy neighborhood rough set method for anomaly detection in large scale data
... Rough set theory RST [10-11] is a new mathematical approach to imperfect ...The theory has attracted attention of many researchers and practitioners all over the world, who contributed ...
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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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A Study on Rough, Fuzzy and Rough Fuzzy Bi-ideals of Ternary Semigroups
... of fuzzy sets was introduced by Zadeh [23]. Fuzzy set theory is a generalization of set ...the fuzzy set theory have been found in various ...of rough sets ...
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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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Image Segmentation using Rough Set based Fuzzy K means Algorithm
... Rough Set Theory was firstly introduced by Pawlak in 1982 [2][3],and is a valuable mathematical tool for dealing with vagueness and uncertainty ...the Rough Set theory. The key ...
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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 New Approach to Rough Lattices and Rough Fuzzy Lattices Based on Fuzzy Ideals
... I T is well known that, in the real world, classical methods are not always successful in dealing with the problems in economy, engineering and social science, because of various types of uncertainties presented in these ...
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A Variable Precision Fuzzy Rough Set Approach to a Fuzzy Rough Decision Table
... The rough set theory and fuzzy set theory are extensions of classical set theory, and they are related but distinct and complementary ...The rough set ...
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A Fast Host-Based Intrusion Detection System Using Rough Set Theory
... of rough set theory to demonstrate this concept. Rough set theory also facilitates identifying rules for intrusion ...A rough set based system is developed that can ...
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DYNAMIC REDUCTS IN OBJECT ORIENTED INFORMATION SYSTEM USING ROUGH SET THEORY
... Rough set theory [1, 2] provides a theoretical foundation of approximation of ...illustrate set-theoretic approximations of concepts. However, “traditional” rough set ...
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E Learning Attributes Selection Through Rough Set Theory and Data Mining
... on rough set theory called ‘ROSE’ (ROugh Set Explorer) and another based on machine learning algorithms called ‘Weka’ (Waikato environment for Knowledge ...
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Rough Set based Natural Image Segmentation under Game Theory Framework
... Abstract- The Since past few decades, image segmentation has been successfully applied to number of applications. When different image segmentation techniques are applied to an image, they produce different results ...
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CHANGING TRENDS OF PREFERENCES IN MODE OF TRANSACTIONS A PREDICTION USING ROUGH SET THEORY
... Rough Set Theory is a new technique that deals with fuzziness and improbability stressed in decision ...The rough set theory offers a feasible approach for decision rule ...
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