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7.Conclusion
Fuzzy set theory and fuzzy logic can be used for defining and
forming the control model of the ship-lockage process.This paper
defined a method and a process for creating a fuzzy control system
that can be used for support in the operator’s decision-making or in
training new operators.The fuzzy control system for ship-lockage
can be directly used (with repeated checking and verification) only
on the actual system that was modelled (the ship lock ‘‘Kucura’’).
The complete procedure,from interviews to fuzzy controller devel-
opment,should be repeated in any other case.The developed con-
trol system can be used as:
part of the control system with automatic or semi-automatic
control and
support in decision making in the classical system.
There is a hope that with some optimization technique,we
could obtain improvements such as reducing the number of empty
lockages and the average waiting time per ship.We must not for-
get that the obtained results are very much dependent on the gen-
erated traffic set and the intensity of arrivals of ships at the ship
lock.
A fuzzy decision-making system was constructed for a basic
type of lock – a single-channel ship lock with two opposite,sto-
chastic flows.Therefore,the input fuzzy variables are simple.Fur-
ther development and research can proceed in two directions.The
first is greater complexity in lock functionality.Instead of the sin-
gle-channel lock,a multi-channel lock can be considered.In actual
systems,this is not rare; locks often consist of two chambers oper-
ating in parallel.There are also multi-chamber locks connected in
series or parallel.Such systems would need to have fuzzy input
variables and fuzzy rules that are more complex.Research and
development in this area can proceed in the direction of more com-
plex input data and sets of ships (e.g.,water level difference,ship
dimensions,and priorities).Vessel size plays an important role
for navigation through waterways and for the lockage.Locks have
a limited capacity.Some ships are too large to be able to fit into the
lock chamber,and there are cases where one chamber can hold
multiple ships at the same time.Moreover,military,service,com-
mercial and private vessels in actual systems do not have the same
priority; some classes of ships have a higher priority for using the
lock than others.It is also possible to establish levels of uncertainty
that consider hydro-meteorological conditions and other specific
qualities.This could introduce additional fuzzy rules.A well-de-
signed fuzzy decision-making system could serve as an excellent
aid in the choice of the management action when there are more
requests for lockage by a number of ships with different priorities.
In any case,the fuzzy decision support system may prove to be a
reliable aid in the management of the ship lock.
7.Conclusion
Fuzzy set theory and fuzzy logic can be used for defining and
forming the control model of the ship-lockage process.This paper
defined a method and a process for creating a fuzzy control system
that can be used for support in the operator’s decision-making or in
training new operators.The fuzzy control system for ship-lockage
can be directly used (with repeated checking and verification) only
on the actual system that was modelled (the ship lock ‘‘Kucura’’).
The complete procedure,from interviews to fuzzy controller devel-
opment,should be repeated in any other case.The developed con-
trol system can be used as:
part of the control system with automatic or semi-automatic
control and
support in decision making in the classical system.
There is a hope that with some optimization technique,we
could obtain improvements such as reducing the number of empty
lockages and the average waiting time per ship.We must not for-
get that the obtained results are very much dependent on the gen-
erated traffic set and the intensity of arrivals of ships at the ship
lock.
A fuzzy decision-making system was constructed for a basic
type of lock – a single-channel ship lock with two opposite,sto-
chastic flows.Therefore,the input fuzzy variables are simple.Fur-
ther development and research can proceed in two directions.The
first is greater complexity in lock functionality.Instead of the sin-
gle-channel lock,a multi-channel lock can be considered.In actual
systems,this is not rare; locks often consist of two chambers oper-
ating in parallel.There are also multi-chamber locks connected in
series or parallel.Such systems would need to have fuzzy input
variables and fuzzy rules that are more complex.Research and
development in this area can proceed in the direction of more com-
plex input data and sets of ships (e.g.,water level difference,ship
dimensions,and priorities).Vessel size plays an important role
for navigation through waterways and for the lockage.Locks have
a limited capacity.Some ships are too large to be able to fit into the
lock chamber,and there are cases where one chamber can hold
multiple ships at the same time.Moreover,military,service,com-
mercial and private vessels in actual systems do not have the same
priority; some classes of ships have a higher priority for using the
lock than others.It is also possible to establish levels of uncertainty
that consider hydro-meteorological conditions and other specific
qualities.This could introduce additional fuzzy rules.A well-de-
signed fuzzy decision-making system could serve as an excellent
aid in the choice of the management action when there are more
requests for lockage by a number of ships with different priorities.
In any case,the fuzzy decision support system may prove to be a
reliable aid in the management of the ship lock.
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