Knowledge representation of public utilities using extended fuzzy logic

被引：0

作者：

Xiu, Guo-Ying ^{[1
]}

Yu, Bo ^{[1
]}

Huang, Fu-Yu ^{[1
]}

机构：

[1] School of Management, Harbin Institute of Technology, Harbin 150001, China

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2007年 / 28卷 / 11期

关键词：

Chaotic systems - Fuzzy logic - Knowledge management - Knowledge representation - Systems analysis;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Appropriate ways of knowledge representation are needed to represent different types of knowledge. This representation must satisfy the requirements of storage system design, and a knowledge representation method based on chaotic fuzzy logic can effectively represent the complex and blurry knowledge of management decisions. This method expands the region of membership in fuzzy logic from [0, 1] to [-1, 1] by including chaotic fuzzy logic, as the zero cannot represent 'unknown' logic and incomplete knowledge in Zadeh's fuzzy logic. The knowledge representation method based on chaotic fuzzy logic not only expands fuzzy logic theory, it also provides a practical new method for the management of knowledge in public utilities.

引用

页码：1287 / 1291

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