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Description of Fuzzy Inference Systems

  • Danuta Rutkowska
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 85)

Abstract

Approximate reasoning, based on fuzzy sets and fuzzy logic, has been successfully employed in fuzzy inference systems. These systems are used in many practical applications, mainly as fuzzy controllers, but also as other knowledge-based systems such as expert systems, fuzzy classifiers and so on. Fuzzy systems have been recently combined with neural networks and genetic algorithms to create different kinds of neuro-fuzzy systems and intelligent systems. This chapter presents an overview of fuzzy sets, approximate reasoning, and fuzzy systems.

Keywords

Membership Function Fuzzy Number Fuzzy System Fuzzy Inference System Fuzzy Logic System 
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

  • Danuta Rutkowska
    • 1
  1. 1.Department of Computer EngineeringTechnical University of CzestochowaCzestochowaPoland

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