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» Optimization and Interpretation of Rule-based Classifiers
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EUSFLAT
2009
135views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
A Logic-Based Approach for Evaluating Interpretability of Fuzzy Rule-Based Classifiers
Abstract-- We describe an automatic approach for evaluating interpretability of fuzzy rule-based classifiers. The approach is based on the logical view of fuzzy rules, which are in...
Corrado Mencar, Ciro Castiello, Anna Maria Fanelli
GECCO
2003
Springer
110views Optimization» more  GECCO 2003»
13 years 10 months ago
Evolutionary Multiobjective Optimization for Generating an Ensemble of Fuzzy Rule-Based Classifiers
One advantage of evolutionary multiobjective optimization (EMO) algorithms over classical approaches is that many non-dominated solutions can be simultaneously obtained by their si...
Hisao Ishibuchi, Takashi Yamamoto
HAIS
2009
Springer
13 years 3 months ago
A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
Abstract. In the last years, several papers have proposed to adopt multiobjective evolutionary algorithms (MOEAs) to generate Mamdani fuzzy rulebased systems with different trade-o...
Michela Antonelli, Pietro Ducange, Beatrice Lazzer...
TMI
1998
97views more  TMI 1998»
13 years 4 months ago
Optimization and FROC Analysis of Rule-Based Detection Schemes Using a Multiobjective Approach
Abstract—Computerized detection schemes have the potential of increasing diagnostic accuracy in medical imaging by alerting radiologists to lesions that they initially overlooked...
Mark A. Anastasio, Matthew A. Kupinski, Robert M. ...
ICDE
2009
IEEE
157views Database» more  ICDE 2009»
14 years 7 months ago
A Rule-Based Classification Algorithm for Uncertain Data
Abstract-- Data uncertainty is common in real-world applications due to various causes, including imprecise measurement, network latency, outdated sources and sampling errors. Thes...
Biao Qin, Yuni Xia, Sunil Prabhakar, Yi-Cheng Tu