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» Approximate Reasoning in MAS: Rough Set Approach
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RSCTC
2004
Springer
157views Fuzzy Logic» more  RSCTC 2004»
13 years 10 months ago
Rough Approximations under Level Fuzzy Sets
The combination of fuzzy set and rough set theories lead to various models. Functional and set approaches are two categories based on different fuzzy representations. In this pape...
W.-N. Liu, Jingtao Yao, Yiyu Yao
RSCTC
2000
Springer
227views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Rough Sets in Approximate Spatial Reasoning
Abstract. In spatial reasoning the qualitative description of relations between spatial regions is of practical importance and has been widely studied. Examples of such relations a...
Thomas Bittner, John G. Stell
ISMIS
2000
Springer
13 years 8 months ago
Design of Rough Neurons: Rough Set Foundation and Petri Net Model
This paper introduces the design of rough neurons based on rough sets. Rough neurons instantiate approximate reasoning in assessing knowledge gleaned from input data. Each neuron c...
James F. Peters, Andrzej Skowron, Zbigniew Suraj, ...
ICCBR
2001
Springer
13 years 9 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
RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
13 years 8 months ago
Towards Rough Neural Computing Based on Rough Membership Functions: Theory and Application
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 ...
James F. Peters, Andrzej Skowron, Liting Han, Shee...