Abstract

This article is addressed to knowledge modelling and formalization using a fuzzified knowledge unit. The work is based on the system approach to the definition of knowledge units, on the procedural form of knowledge. Fuzzification of knowledge units draws innovation potential from knowledge units with fuzzy linguistic variables and Mamdani fuzzy inference system. Fuzzy knowledge units arise as a join the best properties of the given approaches. The core is the knowledge unit itself comprising the description of a problem and its solution. The typical knowledge unit consists of four elements – X as problem situation, Y as elementary problem, Z as goal of elementary problem solving and Q as solution of elementary problem. A last element of a knowledge unit Q is fuzzified by fuzzy linguistic variable. Steps of fuzzification process are described in the case study “Process customization.” The discussion unifies the findings from the chapters with results of the case study.

中文翻译：

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ERP系统升级中基于模糊知识单元的知识建模

摘要

本文针对使用模糊知识单元的知识建模和形式化。该工作基于知识的过程形式的知识单元定义的系统方法。知识单元的模糊化从具有模糊语言变量和Mamdani模糊推理系统的知识单元中汲取创新潜力。模糊知识单元作为给定方法的最佳属性的结合而出现。核心是知识单元本身，包括对问题及其解决方案的描述。典型的知识单元由四个要素组成-X为问题情况，Y为基本问题，Z为基本问题的解决目标，以及Q作为基本问题的解决方案。知识单元Q的最后一个元素由模糊语言变量模糊化。在案例研究“流程定制”中描述了模糊化流程的步骤。讨论将各章的发现与案例研究的结果统一起来。