Proceedings of the 2nd International Conference on Science and Social Research (ICSSR 2013)

Multi-level Fuzzy Comprehensive Evaluation Model For Social Management Innovation

Authors
Chengshui Liu, Wenyan Ji
Corresponding Author
Chengshui Liu
Available Online July 2013.
DOI
https://doi.org/10.2991/icssr-13.2013.108How to use a DOI?
Keywords
multi-level fuzzy comprehensive evaluation; AHP; social management innovation;evaluation index system
Abstract
Social management innovation is of great importance for maintaining social order, promoting social harmony, safeguarding people and creating a good social environment for the development of the party and the state. This paper presents a comprehensive evaluation method for the social management innovation effect. Firstly, an index system consisting of 5 comprehensive indicators and 12 secondary indicators are established; secondly, AHP method is used to determine the index weight at all levels; then, the social management innovation effect are classified into five level as “excellent, good, fair, normal and poor”, and indicators fuzzy membership function is developed; Finally, a multi-level fuzzy comprehensive evaluation model is established. The case study shows that the evaluation method can objectively reflect the operating results of the social management innovation.
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Proceedings
2nd International Conference on Science and Social Research (ICSSR 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2013
ISBN
978-90-78677-75-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icssr-13.2013.108How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chengshui Liu
AU  - Wenyan Ji
PY  - 2013/07
DA  - 2013/07
TI  - Multi-level Fuzzy Comprehensive Evaluation Model For Social Management Innovation
BT  - 2nd International Conference on Science and Social Research (ICSSR 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icssr-13.2013.108
DO  - https://doi.org/10.2991/icssr-13.2013.108
ID  - Liu2013/07
ER  -