An approach to evaluating the mechanical automation with intuitionistic fuzzy information

被引：0

作者：

Siyuan, Chen ^{[1
]}

Zhenhua, Zhang ^{[2
]}

机构：

[1] College of Mechanical Science and Engineering, Jilin University, Changchun, Jilin, China

[2] College of Computer Science and Engineering, Jilin University, Changchun, Jilin, China

来源：

BioTechnology: An Indian Journal | 2014年 / 10卷 / 12期

关键词：

Fuzzy rules - Function evaluation;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The evaluating models of mechanical automation with intuitionistic fuzzy information are investigated. Some operational laws of intuitionistic fuzzy numbers, score functions and accuracy function of intuitionistic fuzzy numbers are introduced. Based on these operational laws, we used the intuitionistic fuzzy Bonferroni mean (IFBM) operator to evaluate the mechanical automation. Finally, an illustrative example for evaluating the mechanical automation with intuitionistic fuzzy information is given to verify the developed approach. © Trade Science Inc.

引用

页码：6870 / 6875

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