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Neuro-fuzzy(-genetic) system for synthesizing rule-based knowledge from data

  • Marian B. Gorzałczany
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 86)

Abstract

Systems that synthesize “knowledge” from data have been under intensive investigation over the last several years. These systems are inherently associated with databases and provide tools for “making sense of data” or, more specifically, for revealing valid, useful and understandable patterns in data [36]. The patterns, which represent the knowledge ”encoded” in data, can be described in different ways depending on the theoretical tools applied to the considered problem. One of the most commonly used structures for knowledge representation are IF-THEN rules. Their main advantages are high readability and modularity. Knowledge represented in this way is also highly modifiable (the rules can be easily added to and deleted from the system). Among the main theoretical tools for the generation of IF-THEN rules from data are rough-set based approaches [218–220, 256, 257], decision tree methods enabling rule extraction, e.g., [36, 233], rule induction systems [37], and different neuro-fuzzy techniques, e.g., [18, 84–113, 116, 117, 119, 121, 126, 143, 183, 208, 242]. The first three theoretical tools are mainly used to generate rules for classification tasks (see also Chapter 8), whereas neuro-fuzzy methods can be applied to both classification and continuous-function approximation problems. The latter include modelling systems with continuous outputs as well as designing controllers for continuous systems.

Keywords

Fuzzy Rule Fuzzy Cluster Cognitive Perspective Fuzzy Rule Base Learning Data 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Marian B. Gorzałczany
    • 1
  1. 1.Department of Electrical and Computer EngineeringKielce University of TechnologyKielcePoland

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