A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 2 Issue 4
Oct.  2015

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Hong Mo, Jie Wang, Xuan Li and Zhanlin Wu, "Linguistic Dynamic Modeling and Analysis of Psychological Health State Using Interval Type-2 Fuzzy Sets," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 4, pp. 366-373, 2015.
Citation: Hong Mo, Jie Wang, Xuan Li and Zhanlin Wu, "Linguistic Dynamic Modeling and Analysis of Psychological Health State Using Interval Type-2 Fuzzy Sets," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 4, pp. 366-373, 2015.

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


This work was supported by National Natural Science Foundation of China (61074093, 61473048, 61233008), the Open Research Project from SKLMCCS (20150101).

  • 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.


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