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Foundations Of Neuro-Fuzzy Systems
TLDR
Foundations of Neuro-Fuzzy Systems reflects the current trend in intelligent systems research towards the integration of neural networks and fuzzy technology. Expand
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Obtaining interpretable fuzzy classification rules from medical data
TLDR
A simple and convenient way to learn fuzzy classifiers from data is provided by neuro-fuzzy approaches. Expand
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A neuro-fuzzy method to learn fuzzy classification rules from data
TLDR
Neuro-fuzzy systems have recently gained a lot of interest in research and application . Expand
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Neuro-fuzzy systems for function approximation
TLDR
We present a neuro-fuzzy architecture for function approximation based on supervised learning that can be used for any application based on function approximation. Expand
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Real Time Business Intelligence for the Adaptive Enterprise
In today's competitive environment, analysing data to predict market trends and to improve enterprise performance is an essential business activity. However, it is becoming clear that businessExpand
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Nefclass | a Neuro{fuzzy Approach for the Classification of Data
In this paper we present NEFCLASS, a neuro{fuzzy system for the classiication of data. This approach is based on our generic model of a fuzzy perceptron which can be used to derive fuzzy neuralExpand
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Measuring interpretability in rule-based classification systems
  • D. Nauck
  • Mathematics, Computer Science
  • The 12th IEEE International Conference on Fuzzy…
  • 25 May 2003
TLDR
We propose an interpretability index to measure the interpretability of fuzzy rule bases for classification problems. Expand
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Towards real-time business intelligence
TLDR
We present a list of emerging technologies which could contribute to the realisation of real-time business intelligence and some examples of applying them to improve BT’s systems and services. Expand
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How the learning of rule weights affects the interpretability of fuzzy systems
  • D. Nauck, R. Kruse
  • Computer Science
  • IEEE International Conference on Fuzzy Systems…
  • 4 May 1998
TLDR
We discuss the influence of rule weights on the interpretability of fuzzy systems. Expand
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NEFCLASSmdash;a neuro-fuzzy approach for the classification of data
TLDR
In this paper we present NEFCLASS, a neuro-fuzzy system for the classification of data. Expand
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