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» Reasoning about Knowledge Using Rough Sets
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GIS
1992
ACM
14 years 1 months ago
Using Orientation Information for Qualitative Spatial Reasoning
A new approach to representing qualitative spatial knowledge and to spatial reasoning is presented. This approach is motivated by cognitive considerations and is based on relative ...
Christian Freksa
ICCS
2004
Springer
14 years 2 months ago
KNAML: A Knowledge Representation Language for Distributed Reasoning
The Knowledge Agent Mediation Language (KNAML) is designed for use in multi-agent reasoning systems. Like conceptual graphs, KNAML represents knowledge using concepts, relations, a...
Gordon Streeter, Andrew Potter
JDCTA
2010
228views more  JDCTA 2010»
13 years 3 months ago
Research and Progress of Cluster Algorithms based on Granular Computing
Granular Computing (GrC), a knowledge-oriented computing which covers the theory of fuzzy information granularity, rough set theory, the theory of quotient space and interval comp...
Shifei Ding, Li Xu, Hong Zhu, Liwen Zhang
RSCTC
2000
Springer
144views Fuzzy Logic» more  RSCTC 2000»
14 years 16 days ago
Valued Tolerance and Decision Rules
In this paper we introduce the concept of valued tolerance as an extension of the usual concept of indiscernibility (which is a crisp equivalence relation) in rough sets theory. So...
Jerzy Stefanowski, Alexis Tsoukiàs
CORR
2008
Springer
116views Education» more  CORR 2008»
13 years 9 months ago
An Evidential Path Logic for Multi-Relational Networks
Multi-relational networks are used extensively to structure knowledge. Perhaps the most popular instance, due to the widespread adoption of the Semantic Web, is the Resource Descr...
Marko A. Rodriguez, Joe Geldart