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Takagi-Sugeno Fuzzy Systems

  • Rafał Scherer
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 288)

Abstract

The Takagi-Sugeno systems (for short, to be denoted TS) are one of the most common fuzzy models. In such systems consequents are functions of inputs. This chapter shows a modification of such models as members of an classifier ensemble. The problem of incapability of merging several rule bases is addressed by a novel design of fuzzy systems constituting the ensemble, resulting in normalization of individual rule bases during learning.

Keywords

Fuzzy System Fuzzy Rule Rule Base Fuzzy Model Fuzzy Rule Base 
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 2012

Authors and Affiliations

  1. 1.Department of Computer EngineeringCzestochowa University of TechnologyCzestochowaPoland

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