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» Approximate Reasoning in MAS: Rough Set Approach
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EUSFLAT
2003
119views Fuzzy Logic» more  EUSFLAT 2003»
14 years 11 months ago
Comparison of two approaches to approximated reasoning
A comparison is made of two approaches to approximate reasoning: Mamdani's interpolation method and the implication method. Both approaches are variants of Zadeh's compo...
Pim van den Broek
SMI
2003
IEEE
143views Image Analysis» more  SMI 2003»
15 years 3 months ago
Rough Surface Modeling Using Surface Growth
In this paper, we present a novel modeling method for synthesizing rough surfaces using discrete surface growth models. We employ a two-pass method. Initial point cluster data is ...
Yootai Kim, Raghu Machiraju, David Thompson
RSCTC
2004
Springer
144views Fuzzy Logic» more  RSCTC 2004»
15 years 3 months ago
Approximation Spaces and Information Granulation
Abstract. In this paper, we discuss approximation spaces in a granular computing framework. Such approximation spaces generalise the approaches to concept approximation existing in...
Andrzej Skowron, Roman W. Swiniarski, Piotr Synak
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
15 years 3 months 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
ATAL
2008
Springer
14 years 11 months ago
Efficient approximate inference in distributed Bayesian networks for MAS-based sensor interpretation
The multiply sectioned Bayesian network (MSBN) framework is the most studied approach for distributed Bayesian Network inference in an MAS setting. This paper describes a new fram...
Norman Carver