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General Information
    • ISSN: 1793-8236 (Online)
    • Abbreviated Title Int. J. Eng. Technol.
    • Frequency:  Quarterly 
    • DOI: 10.7763/IJET
    • Executive Editor: Ms.Yoyo Y. Zhou
    • Abstracting/ Indexing: Chemical Abstracts Services (CAS) EBSCO, Google Scholar, Ulrich Periodicals Directory, Crossref, ProQuest, Index CopernicusINSPECCNKI.
    • E-mail: ijet@vip.163.com
Prof. T. Hikmet Karakoc
Anadolu University, Faculty of Aeronautics and Astronautics, Turkey

IJET 2020 Vol.12(2): 31-36 ISSN: 1793-8236
DOI: 10.7763/IJET.2020.V12.1180

Research on Appropriate Aging of Living Environment Based on Developmental Psychology and Fuzzy Model

Kuntao Hu and Guanghu Jin
Abstract—This article studies the late adult population through developmental psychology, and thus determines the factors that affect the proper aging of the built environment. Based on these factors, three sets of variables, including architectural design, community planning, and interpersonal distance, and nine primary indicators and 30 secondary indicators that affect the evaluation of these variables were determined. Based on this, a multi-layer fuzzy comprehensive evaluation model was introduced. Analyze the survey sample data. The results show that building design, living unit planning, and interpersonal communication distance can all affect the degree of aging. Among them, building design has the most direct impact on the degree of aging. In the future, when we increase the degree of aging of living, we should pay attention to building design or reconstruction. Consideration, taking into account the rationality of community planning and the location of the building on the impact of interpersonal communication.

Index Terms—Living environment, suitable ageing, fuzzy model , development psychology.

The authors are with the School of Engineering, Yanbian University, Yanji 133002, Jilin, China (e-mail: jinguanghu@ybu.edu.cn, Corresponding Author: Guanghu Jin).


Cite: Kuntao Hu and Guanghu Jin, "Research on Appropriate Aging of Living Environment Based on Developmental Psychology and Fuzzy Model," International Journal of Engineering and Technology vol. 12, no. 2, pp. 31-36, 2020.

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