Why rough sets?
- Zdzisław Pawlak
The problem of imperfect knowledge has been tackled for a long time by philosophers, logicians and mathematicians. Recently it became also a crucial issue for computer scientists, particularly in the area of artificial intelligence. There are many approaches to the problem of how to understand and manipulate the imperfect knowledge. The most successful one is, no doubt, fuzzy set theory proposed by Zadeh. Rough set theory is another attempt to this problem. The theory has attracted attention of many researchers and practitioners all over the world, who contributed essentially to its development and applications. Rough set theory overlaps with many other theories, especially with fuzzy set theory, evidence theory and Boolean reasoning methods-nevertheless it can be viewed in its own rights, as an independent, complementary, and not competing discipline
- Record ID
- 738-743 vol.2
- , Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, 1996, vol. 2, 1996
- Keywords in English
- Artificial Intelligence, Boolean reasoning methods, diseases, Evidence theory, fuzzy set theory, imperfect knowledge, inference mechanisms, influenza, knowledge acquisition, machine learning, probability, Rough sets, rough set theory, set theory, Temperature
- DOI:10.1109/FUZZY.1996.552272 Opening in a new tab
- (en) English
- Score (nominal)
- Publication indicators
- = 43
- Uniform Resource Identifier
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or PerishOpening in a new tab system.