The design and simulation of fuzzy controller based on rough sets theory

How to effectively convert control experiences of the experts into fuzzy control rules has always been a hot spot in the design of fuzzy controller. Here a new algorithm to discover fuzzy rules directly from the observed data according to the experienced operators by means of rough sets, fuzzy sets...

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Bibliographic Details
Main Authors: Keming Xie, Zehua Chen, Gang Xie
Format: Conference Proceeding
Language:English
Subjects:
Applied sciences
Automatic generation control
Computer science
control theory
systems
Control system synthesis
Control theory. Systems
Educational institutions
Error correction
Exact sciences and technology
Forward contracts
Fuzzy control
Fuzzy set theory
Fuzzy sets
Fuzzy systems
Input variables
Process control. Computer integrated manufacturing
Rough sets
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Description
Summary:How to effectively convert control experiences of the experts into fuzzy control rules has always been a hot spot in the design of fuzzy controller. Here a new algorithm to discover fuzzy rules directly from the observed data according to the experienced operators by means of rough sets, fuzzy sets and Rosetta software was put forward, the data indeed includes much valuable information about the control process and experts, and furthermore, lots of simulations have shown that the designed controller can take the place of the experts to carry out control task with good performance, the experimental results have shown its efficiency.
ISSN:1062-922X
2577-1655
DOI:10.1109/ICSMC.2004.1399816