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Hierarchical Fuzzy Logic Systems: Current Research and Perspectives

机译:分层模糊逻辑系统:当前的研究与观点

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This paper presents possible application of hierarchical fuzzy logic systems to control vehicles in computer games. The main idea is presented in two ways, a current research referring to paper [14] and concerning the new architecture of a fuzzy logic system as Hierarchical Fuzzy Logic Systems (HFLS), and a brief look at the application of higher order fuzzy sets to these systems. ”Hierarchical” means that fuzzy sets produced as output of one of fuzzy controllers are then processed as an input of another fuzzy controller. The use of such a controller significantly enhances the possibilities of computational intelligence methods in single-player games, i.e. where the ”enemy” is controlled by agents simulating some real behaviour. The original proposal takes into account type- 1 fuzzy sets which are not able to model uncertainties. The proposal presented in this paper models a type-2 hierarchical fuzzy logic system with uncertainties support, built with fuzzy controllers (in the sense of Mamdani). The advantages and disadvantages of HFLS in comparison to classical fuzzy systems with preliminary discussion about type-2 hierarchical fuzzy logic system are enumerated and commented on.
机译:本文呈现了分层模糊逻辑系统的可能应用来控制计算机游戏中的车辆。主要思想是以两种方式呈现的,目前的研究指示纸张[14]并涉及模糊逻辑系统的新架构作为分层模糊逻辑系统(HFL),简要了解高阶模糊集的应用这些系统。 “等级”表示作为模糊控制器之一的输出产生的模糊集被处理为另一个模糊控制器的输入。这种控制器的使用显着提高了单人游戏中计算智能方法的可能性,即“敌人”由模拟一些真实行为的代理控制。原始提案考虑了1型模糊集,这些模糊集无法建模不确定性。本文提出的提案模拟了2型分层模糊逻辑系统,其具有不确定性的支持,内置于模糊控制器(在Mamdani的意义上)。 HFLS与普通模糊系统的优点和缺点与初步讨论关于2型分层模糊逻辑系统的初步讨论,并评论了。

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