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Erschienen in:
Big Data Analytics and Fuzzy Technology: Extracting Information from Social Data Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Structural and Parametric Optimization of Fuzzy Control and Decision Making Systems

verfasst von : Yuriy P. Kondratenko, Dan Simon

Erschienen in: Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Verlag: Springer International Publishing

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Abstract

This paper analyzes various methods of structural and parametric optimization for fuzzy control and decision-making systems. Special attention is paid to hierarchical structure selection, rule base reduction, and reconfiguration in the presence of incomplete data sets. In addition fuzzy system parameter optimization based on gradient descent, Kalman filters, H-infinity filters, and maximization of envelope curve values, are considered for unconstrained and constrained cases. Simulation results show the validity of the proposed methods.

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Vorheriges Kapitel Jagdambika Method for Solving Matrix Games with Fuzzy Payoffs
Nächstes Kapitel Statistical Comparison of the Bee Colony Optimization and Fuzzy BCO Algorithms for Fuzzy Controller Design Using Trapezoidals MFs
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Metadaten
Titel
Structural and Parametric Optimization of Fuzzy Control and Decision Making Systems
verfasst von
Yuriy P. Kondratenko
Dan Simon
Copyright-Jahr
2018
Buch
Recent Developments and the New Direction in Soft-Computing Foundations and Applications

Print ISBN: 978-3-319-75407-9

Electronic ISBN: 978-3-319-75408-6

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-75408-6_22