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Theory System Construction of Distance-Type Fuzzy Reasoning Method

距离型模糊推理方法的理论体系构建

基本信息

批准号：
17500156
负责人：
WANG Shuoyu
金额：
$ 1.93万
依托单位：
Kochi University of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-17500156/
关键词：
Distance-Type Fuzzy Reasoning Method Distance Reasoning Set Fuzzy Set Knowledge Knowledge Radius Discrete Type Fuzzy Set

项目摘要

In this project, theory system of Distance-Type Fuzzy Reasoning Method is being constructed to realize humanlike reasoning. The following items have been completed including last year's results.1. Humans use not only single-stage multi-fold rules but also multi-fold multi-stage rules to fulfill high level reasoning. Therefore, last year's basic reasoning algorithm was expanded to multi-fold multi-stage rules. The basic idea is that if the distance between fuzzy variables of rules is regarded as resistance, according to the theory of electric network, it is possible to develop a reasoning algorithm for multi-fold multi-stage rules which have discrete fuzzy variable.2. In the knowledge representation within the brain, visual figure information is figurative, and since there is much amount of information, not only symbolic information but also figure information is very important. Therefore, the knowledge representation with figures is often used for reasoning. In order to realize more humanlike reasoning, Distance-type Diagrammatic Reasoning Method has been developed by introducing the expression of feature space and conceptual vector, regarding figure information as the expansion of fuzzy set.3. It is desirable to discuss knowledge representation, knowledge acquisition, learning and reasoning collectively. Accordingly, in previous studies, we have proposed an algorithm to unite all the intelligent activities with a reasoning method satisfying distance concept and rule of detachment. Its effectiveness has been shown at simulation level.A software named Human Reasoning Engine has been developed based on the above-mentioned results. There is plan to distribute the software through the homep age of Japan Society for Fuzzy Theory and Intelligent Informatics.

本项目构建距离型模糊推理方法的理论体系，实现类人推理。以下项目已完成，包括去年的结果。人类不仅使用单阶段多阶段规则，而且还使用多重多阶段规则来完成高级推理。因此，去年的基本推理算法被扩展为多重多阶段规则。其基本思想是，如果将规则的模糊变量之间的距离视为阻力，根据电网络理论，可以开发具有离散模糊变量的多重多阶段规则的推理算法。在大脑的知识表征中，视觉图形信息具有具象性，由于信息量大，不仅符号信息重要，图形信息也很重要。因此，图形知识表示常被用于推理。为了实现更接近人类的推理，将图形信息作为模糊集的展开，引入特征空间和概念向量的表达，提出了距离型图解推理方法。我们希望将知识表示、知识获取、学习和推理进行集体讨论。因此，在以往的研究中，我们提出了一种用满足距离概念和脱离规则的推理方法来统一所有智能活动的算法。仿真结果表明了该方法的有效性。基于上述结果，开发了一个名为“人类推理引擎”的软件。计划通过日本模糊理论与智能信息学会的homeage发布该软件。