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TNN
1998
146views more  TNN 1998»
15 years 4 months ago
Fuzzy lattice neural network (FLNN): a hybrid model for learning
— This paper proposes two hierarchical schemes for learning, one for clustering and the other for classification problems. Both schemes can be implemented on a fuzzy lattice neu...
Vassilios Petridis, Vassilis G. Kaburlasos
CIBCB
2007
IEEE
15 years 11 months ago
Multiple Sequence Alignment using Fuzzy Logic
—DNA matching is a crucial step in sequence alignment. Since sequence alignment is an approximate matching process there is a need for good approximate algorithms. The process of...
Sara Nasser, Gregory Vert, Monica N. Nicolescu, Al...
DLOG
2008
15 years 6 months ago
Fuzzy Description Logics for Bilateral Matchmaking in e-Marketplaces
We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a ...
Azzurra Ragone, Umberto Straccia, Fernando Bobillo...
SEBD
2008
121views Database» more  SEBD 2008»
15 years 6 months ago
A Fuzzy Description Logic Approach to Bilateral Matchmaking in Electronic Marketplaces
We present a novel Fuzzy Description Logic (DL) based approach to automate matchmaking in e-marketplaces. We model traders' preferences with the aid of Fuzzy DLs and, given a ...
Azzurra Ragone, Umberto Straccia, Fernando Bobillo...
CAINE
2003
15 years 6 months ago
A Fuzzy Logic Based Multiple Reference Model Adaptive Control
This paper presents a fuzzy logic approach for switching multiple reference models, within the Model Reference Adaptive Control (MRAC) framework, in response to major changes in t...
Sukumar Kamalasadan, Adel A. Ghandakly, Khalid S. ...