An intuitionistic fuzzy system for time series analysis in plant monitoring and diagnosis

Authors:
Oscar Castillo;Arnulfo Alanis;Mario Garcia;Hector Arias
Affiliations:
Department of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico, United States;Department of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico, United States;Department of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico, United States;Department of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico, United States
Venue:
Applied Soft Computing
Year:
2007

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Abstract

We describe in this paper a proposed new approach for fuzzy inference in intuitionistic fuzzy systems. The new approach combines the outputs of two traditional fuzzy systems to obtain the final conclusion of the intuitionistic fuzzy system. The new method provides an efficient way of calculating the output of an intuitionistic fuzzy system, and as consequence can be applied to real-world problems in many areas of application. We illustrate the new approach with a simple example to motivate the ideas behind this work. We also illustrate the new approach for fuzzy inference with a more complicated example of monitoring a non-linear dynamic plant.