The traditional supervisory control systems have allowed a supervisor to
sit in control room and supervise/manage some process.
Apparently supervising is an intelligent activity and AI does aim to solve
the problem of imitating supervisor actions using a computer.
So I would say that in terms of systems, the supervisor can be attempted to
be replaced or helped by using a fuzzy rule based system. The challange here
is in 2 things:
1. Architecture of the system
2. Knowledge acquisition and representations
A lot has been written about the knowldge representation using the fuzzy appraches
The Knowledge acquisition in terms of fuzzy logic may not have been explored to
that extent however the methods used for traditional expert systems may be used.
Regarding the architectures, one needs to explore the best platforms available
for fuzzy inferencing and combine them with the traditional platforms. I wonder
how much work has been done in this direction.
Regards
Harish
In article <49jngm$ahp@news.iesd.auc.dk>, "Roozbeh Izadi-Zamanabad,MB" <riz@control.auc.dk> writes:
|> Hi,
|>
|> I am looking for some references about using fuzzy logic as a
|> supervisor. Witold Pedrycs has mentioned about the subject (VERY BRIEFLY)
|> in his book "FUZZY CONTROL and FUZZY SYSTEMS".
|>
|> I'll appreciate some help (Papers/Books/Others).
|>
|>
|> Roozbeh
|>