Research on Index System for Disabled Elders Evaluation and Grey Clustering Model Based on End-point Mixed Possibility Functions

Date

2019-11-01

Advisors

Journal Title

Journal ISSN

ISSN

0957-3720

DOI

Volume Title

Publisher

Research Information Ltd

Type

Article

Peer reviewed

Yes

Abstract

An operational ability assessment system for older adults is of great help to address health and social challenges for ageing. In this paper, the main problems in currently available ADL and ability evaluation systems have been analyzed. The basic principles to build an index system for disability elders evaluation have been put forwarded. Then,an improved Barthel index system for ADL evaluation and a new older adults ability evaluation system consisted of 4 first-level indexes and 14 secondary indexes based on experts’ opinion and the ability assessment system for older adults by Ministry of Civil Affairs of China have been built. The grey clustering model based on end-point mixed triangular possibility function has been introduced. And three living examples of adults’ disability evaluation have been conducted. It is confirmed clearly that the three older adults belong to different categories of "severe disability", "mild disability", and "ability passable" respectively. The research results can be used as reference for government to formulate the elderly-care policies, to run and allocate the elderly-care resources, as well as reference for various nursing or elderly-care institutions.

Description

The file attached to this record is the Publisher's final version.

Keywords

Disability Elders Evaluation, Index System, Grey Cluster Model, ADL, Barthel Index, End-point Mixed Possibility Functions

Citation

Liu, S., Fan, Y., Yang, Y., Tan, X., Fang, Z., Chen, Y., Zhang, Q., Xie, N., Yuan, C., Xue, Q., Tao, L. and Guo, X. (2019) Research on Index System for Disabled Elders Evaluation and Grey Clustering Model Based on End-point Mixed Possibility Functions. Journal of Grey System, 31(4), pp.1-12.

Rights

Research Institute