The Self-Organizing Relationship (SOR) network employing fuzzy inference based heuristic evaluation
The Self-Organizing Relationship (SOR) network employing fuzzy inference based heuristic evaluation
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DOI：
10.1016/j.neunet.2006.05.008
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发表时间：
2006-07
期刊：
影响因子：
--
通讯作者：
T. Koga;K. Horio;T. Yamakawa
中科院分区：
文献类型：
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作者：
T. Koga;K. Horio;T. Yamakawa
当人类获得一项新的技能时，这通常是通过基于自己的评估标准的大量经验的总结来完成的。这些经验通常是通过反复试验获得的。成功和失败的标准是基于我们自己的知识或别人的建议。自组织关系（SOR）网络受到了这个过程的启发，并被提出来模拟这个过程的计算。在以往的应用SOR网络的控制器设计，评价标准已被指定使用的数学表达式。然而，通常，随着目标系统的复杂性增加，评估标准的数学表达式变得困难。另一方面，尽管目标系统是复杂的，但人类可以通过使用启发式表达来设法表达他们的知识以用于评估。在这项研究中，我们采用模糊推理，以实现启发式表达的评价标准。
When human beings acquire a new skill, this usually is accomplished by the summarization of numerous experiences based on their own evaluation criteria. Usually these experiences are obtained by trial and error. The criteria for success and failure are based on our own knowledge or advice given by others. The Self-Organizing Relationship (SOR) network has been inspired by this process and has been proposed to emulate this process computationally. In the previous applications of the SOR network for controller design, the evaluation criteria have been assigned by using mathematical expressions. Generally, however, mathematical expressions of the evaluation criteria become difficult as the complexity of a target system increases. On the other hand, human beings can contrive to express their knowledge for evaluation by using heuristic expressions, although a target system is complicated. In this study, we employ fuzzy inference in order to realize heuristic expressions of the evaluation criteria.