Weighted interval fuzzy reasoning based on Vague sets
被引:0
|
作者:
Zhao Li-yuan
论文数: 0引用数: 0
h-index: 0
机构:
SW Jiaotong Univ, Dept Math, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Dept Math, Chengdu 610031, Peoples R China
Zhao Li-yuan
[1
]
Huang Tian-min
论文数: 0引用数: 0
h-index: 0
机构:
SW Jiaotong Univ, Dept Math, Chengdu 610031, Peoples R ChinaSW Jiaotong Univ, Dept Math, Chengdu 610031, Peoples R China
Huang Tian-min
[1
]
机构:
[1] SW Jiaotong Univ, Dept Math, Chengdu 610031, Peoples R China
来源:
Proceedings of the 2007 Chinese Control and Decision Conference
|
2007年
关键词:
Vague sets;
accurate volume interval-valued fuzzed;
weighted fuzzed reasoning;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Weighted interval reasoning is presented based on Vague sets. The inference rules of accurate volume are interval-valued fuzzed. In order to determine the matching function of fuzzy control with interval facts, a method of weighted measure of similarity reasoning is given by using Vague sets. Experimental results show that this reasoning process is simplified, and it possesses better value of applications.