RSKT
2010
Springer
13 years 10 months ago
2010
Springer
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
PR
2000
14 years 6 days ago
2000
Based on the observation that rough sets and mathematical morphology are both using dual operators sharing similar properties, we investigate more closely the links existing betwe...
AEPIA
2002
14 years 9 days ago
2002
Case-Based Reasoning systems retrieve cases using a similarity function based on the K-NN or some derivatives. These functions are sensitive to irrelevant, interacting or noisy fe...
ISCI
2006
14 years 12 days ago
2006
This paper presents some roughness bounds for rough set operations. The results show that a bound of the set operation can be determined from their operand's roughnesses. We ...
JCIT
2008
14 years 12 days ago
2008
This paper introduces a new computer-aided classification system for detection of prostate cancer in Transrectal Ultrasound images (TRUS). To increase the efficiency of the comput...
BMCBI
2006
14 years 15 days ago
2006
Background: A new method for the prediction of protein structural classes is constructed based on Rough Sets algorithm, which is a rule-based data mining method. Amino acid compos...
DAM
2008
14 years 15 days ago
2008
This paper presents an algebraic formalism for reasoning on finite increasing sequences over Boolean algebras in general and on generalizations of Rough Set concepts in particular...
GRC
2008
IEEE
14 years 1 months ago
2008
IEEE
Preference analysis is a class of important tasks in multi-criteria decision making. The classical rough set theory was generalized to deal with preference analysis by replacing e...
RSCTC
2000
Springer
14 years 4 months ago
2000
Springer
Abstract. Rough sets have traditionally been applied to decision (classification) problems. We suggest that rough sets are even better suited for reasoning. It has already been sho...
RSCTC
2000
Springer
14 years 4 months ago
2000
Springer
This paper introduces a neural network architecture based on rough sets and rough membership functions. The neurons of such networks instantiate approximate reasoning in assessing ...