Statistical analysis with missing data
Statistical analysis with missing data
Rough-set reasoning about uncertain data
Fundamenta Informaticae - Special issue: rough sets
Fuzzy information engineering: a guided tour of applications
Fuzzy information engineering: a guided tour of applications
Neuro-fuzzy approach versus rough-set inspired methodology for intelligent decision support
Information Sciences—Informatics and Computer Science: An International Journal
A First Course in Fuzzy and Neural Control
A First Course in Fuzzy and Neural Control
Rough Sets: Mathematical Foundations
Rough Sets: Mathematical Foundations
Fuzzy discretization of feature space for a rough set classifier
Pattern Recognition Letters - Special issue: Rough sets, pattern recognition and data mining
Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications
Time Complexity of Rough Clustering: GAs versus K-Means
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
Soft data mining, computational theory of perceptions, and rough-fuzzy approach
Information Sciences: an International Journal - Special issue: Soft computing data mining
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Fuzzy rough sets hybrid scheme for breast cancer detection
Image and Vision Computing
Fuzzy-rough nearest neighbor algorithms in classification
Fuzzy Sets and Systems
Fuzzy Classifier Design
Classification model based on rough and fuzzy sets theory
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
Data mining: as an imperative tool for discovering knowledge
CIMMACS'07 Proceedings of the 6th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics
On possible rules and apriori algorithm in non-deterministic information systems
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
A method of generating decision rules in object–oriented rough set models
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
Generalized modus ponens using Fodor's implication and a parametric T-norm
WSEAS TRANSACTIONS on SYSTEMS
Systems modelling on the basis of rough and rough-fuzzy approach
WSEAS Transactions on Information Science and Applications
Fuzzy diagnostic system for railway bridges
CIMMACS'09 Proceedings of the 8th WSEAS International Conference on Computational intelligence, man-machine systems and cybernetics
Synthesis and analysis of fuzzy diagnostic systems for railway bridges
WSEAS Transactions on Information Science and Applications
System approach to determinants of quality of life within a region
WSEAS TRANSACTIONS on SYSTEMS
A fuzzy controller with various T-norms applied in robot navigation
WSEAS Transactions on Systems and Control
Green supply implementation based on fuzzy QFD: an application in GPLM system
WSEAS TRANSACTIONS on SYSTEMS
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The paper reflects the trend of the past years which is based on the diffusion of various traditional approaches and methods to the way of tackling new problems, in this case to the classification. Two components of the computational intelligence are applied in a classification model. It means rough and fuzzy sets on the basis of which the data classification hybrid model is proposed. In the second part the current knowledge in the investigated field are summarized and briefly explained. The algorithm for uncertain data operations and conditioned rules generation is introduced too. We have brought in an original toolbox called RSTbox for data processing and automatic rules generation. Proposed model and toolbox are carried out in MATLAB, tested on more data files, and compared to others, already known classification methods.