Question

求外文翻译，不要机翻的。

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.

Answer 1

7。结论
模糊集理论和模糊逻辑可用于定义以及创建船舶过闸的过程控制模型。
本文定义了用于建立模糊控制系统，它是可用作为操作人员提供决策支持，或用于训练新的操作人员的方法和过程。
该模糊控制系统，只有经模仿实际的系统（船闸Kucura）为基础方可直接用于船舶过闸（需经反复检查和核实）
在任何其他情况下都应该从面谈到模糊控制器的开发全过程重复完整的程序。
所开发的控制系统可用于：
-自动或半自动化控制系统的子系统，
-为传统的控制系统提供决策支持。
我们期望采用一些优化技术来获得诸如减少空船过闸的数量和每艘船的平均轮候时间方面的改善。
不能忽略的是：所得到的结果与生成的交通量和抵达船闸的船舶密集度密切相关。

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Answer 2

7。ConclusionFuzzy集理论和模糊逻辑可用于定义andforming控制模型的船通过船闸过程。这paperdefined方法和过程来创建一个模糊控制,使得可用于支持在运营商的决策或蓬勃的新运营商。模糊控制系统是直接使用ship-lockagecan(重复检查和验证)只是在实际系统模型(船闸”Kucura”)。完整的过程,从面试到模糊控制器,应该重复振在任何其他情况下。控制系统的开发可以使用as:􏰀部分控制系统与自动或半自动控制and􏰀在决策支持系统中的经典有一种希望与一些优化技术,我们能取得进步,如数量的减少和平均等待时间emptylockages每船。我们不能为了得到这结果非常依赖于gen-erated交通设置和强烈的移民的船只在船闸。一个模糊决策系统,构建了一个basictype锁——一个单通道船闸和两个相反的,sto-chastic流动。因此,输入模糊变量是简单的。毛皮其他开发和研究可以在两个方向进行。第一个是更大的复杂性在锁的功能。而不是罪gle通道锁,一个多通道锁可以被认为是。在actualsystems,这并非罕见,通常由两院锁并行歌剧院让人胆怯。也有简称tup锁连接串联地或平行。这样的系统需要有模糊变量和模糊规则,更复杂。在这一领域研发的方向进行更多的com丛输入数据和集船舶(如。、水水平的差异,shipdimensions,优先级)。船的大小起着重要的rolefor导航通过水路和船闸系统。锁有一个有限的