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» Granulation Operators on a Knowledge Base
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RSEISP
2007
Springer
13 years 11 months ago
Interpreting Low and High Order Rules: A Granular Computing Approach
The main objective of this paper is to provide a granular computing based interpretation of rules representing two levels of knowledge. This is done by adopting and adapting the de...
Yiyu Yao, Bing Zhou, Yaohua Chen
JCST
2006
119views more  JCST 2006»
13 years 4 months ago
Constraint-Based Fuzzy Models for an Environment with Heterogeneous Information-Granules
:- A novel constraint-based fuzzy modeling approach is proposed. Features of the proposed model are enumerated as below. 1)The knowledge base of a constraint-based fuzzy model can ...
K. Robert Lai, Yi-Yuan Chiang
FSS
2007
113views more  FSS 2007»
13 years 4 months ago
Spatial data fusion for qualitative estimation of fuzzy request zones: Application on precision viticulture
This article deals with a method used to describe and manage spatial knowledge. Each spatial datum is considered as an information element, whose location and value are independen...
J.-N. Paoli, Olivier Strauss, B. Tisseyre, J.-M. R...
IEEEICCI
2007
IEEE
13 years 11 months ago
A Logic Language of Granular Computing
Granular computing concerns human thinking and problem solving, as well as their implications to the design of knowledge intensive systems. It simplifies complex real world probl...
Yiyu Yao, Bing Zhou
ASIAMS
2007
IEEE
13 years 11 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal