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JDCTA
2010
228views more  JDCTA 2010»
14 years 6 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
TFS
2008
116views more  TFS 2008»
14 years 11 months ago
Fuzzifying Allen's Temporal Interval Relations
When the time span of an event is imprecise, it can be represented by a fuzzy set, called a fuzzy time interval. In this paper, we propose a framework to represent, compute, and re...
Steven Schockaert, Martine De Cock, Etienne E. Ker...
SIGMOD
2010
ACM
262views Database» more  SIGMOD 2010»
15 years 4 months ago
K-nearest neighbor search for fuzzy objects
The K-Nearest Neighbor search (kNN) problem has been investigated extensively in the past due to its broad range of applications. In this paper we study this problem in the contex...
Kai Zheng, Gabriel Pui Cheong Fung, Xiaofang Zhou
RSCTC
1993
Springer
161views Fuzzy Logic» more  RSCTC 1993»
15 years 3 months ago
Quantifying Uncertainty of Knowledge Discovered From Databases
This paper focuses on the application of rough set constructs to inductive learning from a database. A design guideline is suggested, which provides users the option to choose app...
Yang Xiang, S. K. Michael Wong, Nick Cercone
RSCTC
2000
Springer
147views Fuzzy Logic» more  RSCTC 2000»
15 years 3 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...