Linguistic Dynamic Modeling and Analysis of Psychological Health State Using Interval Type-2 Fuzzy Sets

被引：10

作者：

Hong Mo ^{[1
]}

Jie Wang ^{[1
]}

Xuan Li ^{[1
]}

Zhanlin Wu ^{[2
,3
]}

机构：

[1] College of Electric and Information Engineering, Changsha University of Science and Technology

[2] College of Electric and Information Engineering,Changsha University of Science and Technology

[3] Guilin Power Corporation

来源：

IEEE/CAAJournalofAutomaticaSinica | 2015年 / 2卷 / 04期

基金：

中国国家自然科学基金;

关键词：

Linguistic dynamic systems(LDS); interval type-2 fuzzy sets; psychological health state;

D O I：

暂无

中图分类号：

R395 [医学心理学、病理心理学];

学科分类号：

040203 ;

摘要：

The study of psychological health state is helpful to build appropriate models and take effective intervention strategies, and the results benefit the intervened released from psychological distress within the shortest possible time. In this paper, interval type-2 fuzzy sets and fuzzy comprehension evaluation are applied in the analysis of mental health status and crisis intervention. A closed-loop linguistic dynamic intervention model for psychological health state is built. Linguistic dynamic systems based on interval type-2 fuzzy sets are used to describe and analyze the evolutionary process of psychological health status.

引用

页码：366 / 373

页数：8

共 10 条

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