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GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
14 years 2 months ago
The Principle of Maximum Entropy-Based Two-Phase Optimization of Fuzzy Controller by Evolutionary Programming
In this paper, a two-phase evolutionary optimization scheme is proposed for obtaining optimal structure of fuzzy control rules and their associated weights, using evolutionary prog...
Chi-Ho Lee, Ming Yuchi, Hyun Myung, Jong-Hwan Kim
FSS
2007
102views more  FSS 2007»
13 years 9 months ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...
EUSFLAT
2009
175views Fuzzy Logic» more  EUSFLAT 2009»
13 years 6 months ago
The Minimization of the Risk of Falling in Portfolios under Uncertainty
Abstract-- A portfolio model to minimize the risk of falling under uncertainty is discussed. The risk of falling is represented by the value-at-risk of rate of return. Introducing ...
Yuji Yoshida
AML
2004
96views more  AML 2004»
13 years 9 months ago
Analytic Calculi for Product Logics
Abstract. Product logic is an important t-norm based fuzzy logic with conjunction interpreted as multiplication on the real unit interval [0, 1], while Cancellative hoop logic CHL ...
George Metcalfe, Nicola Olivetti, Dov M. Gabbay
APIN
2000
155views more  APIN 2000»
13 years 9 months ago
Defeasible Logic on an Embedded Microcontroller
Defeasible logic is a system of reasoning in which rules have exceptions, and when rules conflict, the one that applies most specifically to the situation wins out. This paper repo...
Michael A. Covington