Multilayered reasoning by means of conceptual fuzzy sets
Multilayered reasoning by means of conceptual fuzzy sets
复制标题
通过概念模糊集进行多层推理
DOI：
10.1002/(sici)1098-111x(199602)11:2
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发表时间：
1996
影响因子：
7
通讯作者：
Toru Yamaguchi
中科院分区：
文献类型：
--
作者：
T. Takagi;A. Imura;H. Ushida;Toru Yamaguchi
现实世界是由事件的实例和连续的数值组成的，而人们用符号来表示和处理他们的知识。模糊集提供了一种将符号表示与真实世界联系起来的强符号。在以前提出的概念模糊集(CFS)中，概念的意义是由双向联想记忆中标签的激活分布来表示的。具体地说，多层结构的CFS代表了在每一层的各种表达中使用的相同概念的含义。激活的传播对应于推理。因此，我们提出了一种与多层结构化CFS相关联的多层推理方法，该方法具有以下特点：(1)能够同时进行符号和数量处理；(2)能够同时进行自上而下和自下而上的处理。通过对停车任务中转向角度的决策和图像理解系统的面部表情识别的实例验证了该方法的有效性。©1996 John Wiley父子公司
The real world consists of instances of events and continuous numeric values, while people represent and process their knowledge in terms of symbols. Fuzzy sets provide a strong notation connecting the symbolic representation to the real world. In previously proposed Conceptual Fuzzy Sets (CFS), the meaning of a concept is represented by the distribution of activations of labels in a bidirectional associative memory. In particular, a multilayered structured CFS represents the meaning of the same concept as it is used in various expressions in each layer. The propagation of activations corresponds to reasoning. Therefore, we propose a multilayered reasoning method associated to a multilayered structured CFS, which has the following features: (1) capable of simultaneous symbolic and quantitative processing, (2) capable of simultaneous top‐down and bottom‐up processing. The effectiveness of the proposed method is illustrated by practical examples of decision regarding the amount of steering in the task of parking a car, and recognition of facial expressions for an image understanding system. © 1996 John Wiley & Sons, Inc.