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137
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AEI
1999
110views more  AEI 1999»
15 years 3 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
LATIN
2004
Springer
15 years 8 months ago
Approximating the Expressive Power of Logics in Finite Models
Abstract. We present a probability logic (essentially a first order language extended with quantifiers that count the fraction of elements in a model that satisfy a first order ...
Argimiro Arratia, Carlos E. Ortiz
120
Voted
SEMWEB
2007
Springer
15 years 9 months ago
A Pattern-based Framework for Representation of Uncertainty in Ontologies
Abstract. We present a novel approach to representing uncertain information in ontologies based on design patterns. We provide a brief description of our approach, present its use ...
Miroslav Vacura, Vojtech Svátek, Pavel Smrz...
EUSFLAT
2007
142views Fuzzy Logic» more  EUSFLAT 2007»
15 years 4 months ago
Compenzational Vagueness
Some manipulations with vague quantities consist in an aggregation of vague amounts where the resulting aggregated quantity (in our case a sum of vague summands) is expected to be...
Milan Mares
FSKD
2006
Springer
203views Fuzzy Logic» more  FSKD 2006»
15 years 7 months ago
An Interval Semi-absolute Deviation Model For Portfolio Selection
Interval number is a kind of special fuzzy number and the interval approach is a good method to deal with some uncertainty. The semi-absolute deviation risk function is extended to...
Yong Fang, Shouyang Wang