Paper Info
Title
An intuitionistic fuzzy system for time series analysis in plant monitoring and diagnosis
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.
Year
DOI
Venue
2007
10.1016/j.asoc.2006.01.010
Appl. Soft Comput.
Keywords
Field
DocType
proposed new approach,complicated example,non-linear dynamic plant,time series analysis,final conclusion,traditional fuzzy system,fuzzy inference,intuitionistic fuzzy system,new method,intuitionistic fuzzy logic,simple example,new approach,monitoring,plant monitoring,fuzzy system,non linear dynamics,fuzzy logic
Data mining,Neuro-fuzzy,Defuzzification,Fuzzy classification,Fuzzy set operations,Fuzzy mathematics,Artificial intelligence,Adaptive neuro fuzzy inference system,Type-2 fuzzy sets and systems,Fuzzy number,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
7
4
Applied Soft Computing Journal
Citations 
PageRank 
References 
12
0.58
4
Authors
4
Name
Order
Citations
PageRank
Oscar Castillo15289452.83
Arnulfo Alanis2141.29
Mario García Valdez330426.97
Hector Arias4131.30