Sciweavers

Share
197 search results - page 1 / 40
» Rough Set Approach to CBR
Sort
View
RSCTC
2000
Springer
197views Fuzzy Logic» more  RSCTC 2000»
12 years 7 months ago
Rough Set Approach to CBR
We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for c...
Jan Wierzbicki
ICCBR
2003
Springer
12 years 8 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
ICCBR
2001
Springer
12 years 8 months ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
IBERAMIA
2004
Springer
12 years 9 months ago
Applying Rough Sets Reduction Techniques to the Construction of a Fuzzy Rule Base for Case Based Reasoning
Early work on Case Based Reasoning reported in the literature shows the importance of soft computing techniques applied to different stages of the classical 4-step CBR life cycle. ...
Florentino Fdez-Riverola, Fernando Díaz, Ju...
EWCBR
2004
Springer
12 years 9 months ago
Maintaining Case-Based Reasoning Systems: A Machine Learning Approach
Over the years, many successful applications of case-based reasoning (CBR) systems have been developed in diļ¬€erent areas. The performance of CBR systems depends on several factor...
Niloofar Arshadi, Igor Jurisica
books