Fuzzy non-linear regression method for intensification of the object's vagueness representation

19 November 2002

conference paper
Published by Institute of Electrical and Electronics Engineers (IEEE)

Vol. 4, 2051-2056
https://doi.org/10.1109/fuzzy.1995.409960

Abstract

The paper deals with problems of structural and parameters identification of nonlinear production models, which are based on regression methods and use the theory of fuzzy sets for representation of indeterminacy. The aim is to present a new generalized fuzzy nonlinear analysis and to formulate appropriate methodology of modeling and identification method. The paper presents the corresponding computer program module for real-time new nonlinear regression analysis and to carry out a numerical experiment.

Keywords

FUZZY SYSTEMS
FUZZY REASONING
LINEAR REGRESSION
INFORMATICS
PARAMETER ESTIMATION
PRODUCTION
FUZZY SETS
REGRESSION ANALYSIS
LEAST SQUARES METHODS
EAR

This publication has 0 references indexed in Scilit: