REFERENCES
- Agotnes , T. 1999 . Filtering large propositional rule sets while retaining classifier performance. Master's Thesis, Department of Computer and Information Science. Norwegian University of Science and Technology. .
- Bazan , J. , H. S. Nguyen , S. H. > Nguyen , P. Synak , J. Wróblewski , L. Polkowski , and T. Y. Lin . 2000 . Rough set algorithms in classification problem . In: Rough Set Methods and Applications . Heidelberg : Physica-Verlag .
- Bazan , J. and M. Szczuka . 2001 . RSES and RSESlib – A collection of tools for rough set . Lecture Notes in Computer Science 2005 : 106 – 113 .
- Chen , J. S. and C. H. Cheng . 2008 . Extracting classification rule of software diagnosis using modified MEPA . Expert Systems with Applications 34 : 411 – 418 .
- Christensen , R. 1980 . Entropy Minimax Sourcebook, General Description . Lincoln MA : Entropy Limited .
- Ergun , U. , S. Serhathoglu , F. Hardalaç , and I. Guler . 2004 . Classification of carotid artery stenosis of patients with diabetes by neural network and logistic regression . Computers in Biology and Medicine 34 : 389 – 405 .
- Grzymala-Busse , J. W. 1997 . A new version of the rule induction system LERS . Fundamenta Informaticae 31 : 27 – 39 .
- Grzymala-Busse , J. W. and R. Slowinski . 1992 . LERS – A system for learning from examples based on rough sets . In: Intelligent Decision Support: Handbook of Applications and Advances in Rough Set Theory . Dordrecht , Boston , London : Kluwer Academic Publishers .
- Mackay , J. and G. Mensah . 2004 . The Atlas of Heart Disease and Stroke , edited by World Health Organization, Geneva.
- Nesto , R. W. 2004 . Correlation between cardiovascular disease and diabetes mellitus: Current concepts . The American Journal of Medicine 116 : 11 – 22 .
- Newman , D. J. , S. Hettich , C. L. Blake , and C. J. Merz . 1998. UCI Repository of Machine Learning Databases. http://www.ics.uci.edu/~mlearn/. Last accessed July 25, 2007..
- Nguyen , H. S. and S. H. Nguyen . 2003 . Analysis of STULONG data by rough set exploration system (rses) . Proceedings of ECML/PKDD-2003 Discovery Challenge Workshop . Cavtat-Dubrovnik , Croatia .
- Pawlak , Z. 1982 . Rough sets . International Journal of Information and Computer Sciences 11 : 341 – 356 .
- Pawlak , Z. 1991 . Rough Sets, Theoretical Aspects of Reasoning about Data . Dordrecht , Netherlands : Kluwer Academic Publishers .
- Pawlak , Z. and A. Skowron . 2007 . Rudiments of rough sets . Information Sciences 177. .
- Platt , J. C. , B. Scholkopf , C. Burges , and A. J. Smola . 1999 . Fast training of support vector machines using sequential minimal optimization . In: Advances in Kernel Methods – Support Vector Learning . Cambridge , MA : MIT Press .
- Polat , K. , S. Sahan , and S. Günes . 2006 . A new method to medical diagnosis: Artificial immune recognition system (AIRS) with fuzzy weighted pre-processing and application to ECG arrhythmia . Expert Systems with Applications 31 : 264 – 269 .
- Ross , T. J. 2004 . Fuzzy Logic with Engineering Applications . New York : John Wiley & Sons, Ltd .
- Smith , J. W. and J. E. Everhart . 1988 . Using the ADAP learning algorithm to forecast the onset of diabetes mellitus . Proceedings of the Symposium on Computer Applications and Medical Care , Los Angeles , CA .
- Yager , R. and D. Filev . 1994 . Template-based fuzzy system modeling . Intelligent and Fuzzy System 2 : 39 – 54 .
- Ziarko , W. 1991 . The discovery, analysis, and representation of data dependencies in databases . In: Knowledge Discovery in Databases . Menlo Park , CA: AAAI Press , MIT Press .