模糊规则挖掘器:一个用于数据库知识发现专题项目教学的软件库

J. Bohacik, M. Zábovský
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引用次数: 1

摘要

一组模糊规则是一种人类可解释的知识表示,它被用于各种研究领域,如数据库中的控制和知识发现,例如根据输入变量推断输出。它利用模糊逻辑的概念,如模糊集、隶属函数和隶属度。隶属度表示的真值可以是0到1之间的任何实数。通过隶属函数对特定应用的隶属度进行有效定义,需要一个能够设置隶属函数并为各种知识发现算法生成输入的工具。同样,还需要各种算法来制定模糊规则和验证。此外,随着这一科学领域的研究活跃起来,修改必须成为可能。由于许多与模糊规则相关的算法及其修改不能用于程序的开发,本文提出了模糊规则挖掘软件库。该软件库是用Java语言编写的,可以帮助学生进行模糊逻辑的相关计算、模糊规则的发现和模糊规则的使用。它还可以作为处理模糊规则的复杂软件程序的支持库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy Rule Miner: A Software Library Used in Project Based Teaching of Topics Related to Knowledge Discovery in Databases
A group of fuzzy rules is a human-interpretable knowledge representation which is used in various fields of study such as control and knowledge discovery in databases, e.g. for inferring on output based on input variables. It makes use of the notions of fuzzy logic such as fuzzy sets, membership functions and membership degrees. Truth values represented by membership degrees may be any real number between 0 and 1. Effective definition of membership degrees through membership functions for particular applications requires a tool able to set membership functions and to generate inputs for various knowledge discovery algorithms. Similarly, various algorithms for making fuzzy rules and validating are required as well. In addition, modifications have to be possible as research in this scientific area is active. Since many fuzzy rule related algorithms and their modifications are not available for development of programs, software library Fuzzy Rule Miner is presented in this paper. This software library is written in Java and it can be used for helping students with fuzzy logic related calculations, fuzzy rule discovery and the use of fuzzy rules. It can also serve as a support library for complex software programs working with fuzzy rules.
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