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DMIN
2006
133views Data Mining» more  DMIN 2006»
15 years 1 months ago
A Fuzzy Neural Based Data Classification System
Data mining has emerged to be a very important research area that helps organizations make good use of the tremendous amount of data they have. In data classification tasks, fuzzy ...
Luong Trung Tuan, Suet Peng Yong
EUSFLAT
2001
130views Fuzzy Logic» more  EUSFLAT 2001»
15 years 1 months ago
Autonomous robot behaviours for co-operative agents using fuzzy logic and subtractive clustering
Intelligent autonomous robots and multiagent systems, having different skills and capabilities for specific subtasks, have the potential to solve problems more efficiently and eff...
Alexandros Mouzakitis, Geoff Roberts
EOR
2006
94views more  EOR 2006»
14 years 11 months ago
Portfolio rebalancing model with transaction costs based on fuzzy decision theory
The fuzzy set is one of the powerful tools used to describe an uncertain environment. As well as quantifying any potential return and risk, portfolio liquidity is taken into accou...
Yong Fang, K. K. Lai, Shouyang Wang
94
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LOGCOM
2010
120views more  LOGCOM 2010»
14 years 10 months ago
Arithmetical Complexity of First-order Predicate Fuzzy Logics Over Distinguished Semantics
All promiment examples of first-order predicate fuzzy logics are undecidable. This leads to the problem of the arithmetical complexity of their sets of tautologies and satisfiab...
Franco Montagna, Carles Noguera
TKDE
2008
197views more  TKDE 2008»
14 years 11 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...