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» Rough Approximations under Level Fuzzy Sets
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RSCTC
2000
Springer
139views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Application of Normalized Decision Measures to the New Case Classification
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the...
Dominik Slezak, Jakub Wroblewski
WASA
2009
Springer
165views Algorithms» more  WASA 2009»
14 years 2 months ago
Maximum Independent Set of Links under Physical Interference Model
This paper addresses the following optimization problem in a plane multihop wireless networks under the physical interference model: From a given a set of communication links whose...
Peng-Jun Wan, Xiaohua Jia, F. Frances Yao
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
14 years 24 days ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak
RSCTC
2004
Springer
121views Fuzzy Logic» more  RSCTC 2004»
14 years 24 days ago
On the Correspondence between Approximations and Similarity
Abstract. This paper focuses on the use and interpretation of approximate databases where both rough sets and indiscernibility partitions are generalized and replaced by approximat...
Patrick Doherty, Andrzej Szalas
ISCI
1998
91views more  ISCI 1998»
13 years 7 months ago
The Improper Fuzzy Riemann Integral and its Numerical Integration
The improper fuzzy Riemann integral and its numerical integration are proposed in this paper. Under the setting of the improper fuzzy Riemann integral, we can ®nd the expectation...
Hsien-Chung Wu