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RSCTC
2004
Springer
138views Fuzzy Logic» more  RSCTC 2004»
15 years 4 months ago
A Parallel Approximate Rule Extracting Algorithm Based on the Improved Discernibility Matrix
A parallel rule-extracting algorithm based on the improved discernibility matrix [2] is proposed, by this way, a large amount of raw data can be divided into some small portions to...
Yong Liu, Congfu Xu, Yunhe Pan
AIIA
2001
Springer
15 years 3 months ago
A Knowledge-Based Neurocomputing Approach to Extract Refined Linguistic Rules from Data
– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Giovanna Castellano, Anna Maria Fanelli
ERCIMDL
1999
Springer
111views Education» more  ERCIMDL 1999»
15 years 3 months ago
PIA - A Generic Model and System for Interactive Product and Service Catalogs
Abstract. This text motivates and de nes a generic model for interactive online or o ine product catalogs. Based on a detailed requirements analysis, the data model is de ned usi...
Florian Matthes, Ulrike Steffens
EUSFLAT
2003
15 years 24 days ago
Relational Takagi-Sugeno models for rainfall-discharge modeling
In this paper, the use of fuzzy models relating rainfall to catchment discharge is investigated for the Zwalm catchment in Belgium. The models are built along the lines of Gawedaâ...
Hilde Vernieuwe, Bernard De Baets
CORR
2010
Springer
88views Education» more  CORR 2010»
14 years 11 months ago
A fuzzified BRAIN algorithm for learning DNF from incomplete data
Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (U...
Salvatore Rampone, Ciro Russo