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Therefore, integrating various methods can be a possible way to enhance
classification efficiency.
Readers can review the Website of Electronic Bulletin of the Rough Set
Community (http://www.cs.uregina.ca/~roughset) to see current fruits of rough
set theory.
Exercises
1. What is the basis of rough set theory?
2. What are decision tables and decision logic? Write the basic expression of
decision logic language.
3. Explain knowledge reduction and knowledge dependency.
4. Why can attributes be reduced based on rough sets? Give an example to
illustrate the reduction methods of inconsistent decision tables.
5. What is the meaning of minimal attribute set?
6. Describe the main problem and classical extended models of rough set theory
in brief.
7. What is granular computing? Try to compare the features of the three granular
computing models.
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