中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (4): 157-162.doi: 10.16265/j.cnki.issn1003-3033.2018.04.027

• 公共安全 • 上一篇    下一篇

基于耗散结构的重大决策社会风险态势判别模型

常志朋1,2 教授, 张增国3 讲师, 张涛1,2 讲师, 徐浩越1,2   

  1. 1 安徽工业大学 商学院,安徽 马鞍山 243002
    2 安徽创新驱动发展研究院, 安徽 马鞍山 243002
    3 安徽工业大学 公共管理与法学院,安徽 马鞍山 243002
  • 收稿日期:2017-12-03 修回日期:2018-02-28 出版日期:2018-04-28 发布日期:2020-09-28
  • 作者简介:常志朋(1978—),男,吉林榆树人,博士,教授,主要从事公共管理、模糊多属性决策、模式识别等方面的研究。E-mail:changzp@126.com。
  • 基金资助:
    国家自然科学基金资助(71673001); 安徽省哲学社会科学规划基金资助(AHSKY2015D79);安徽省高校优秀青年人才支持计划重点项目(gxyqZD2017040);安徽工业大学青年教师科研基金资助(QS201704)。

Dissipative structure theory based model for major decision-making social risk situation discrimination model

CHANG Zhipeng1,2, ZHANG Zengguo3, ZHANG Tao1,2, XU Haoyue1,2   

  1. 1 School of Business, Anhui University of Technology, Maanshan Anhui 243002, China
    2 Institute of Anhui's Innovation Driving and Development, Maanshan Anhui 243002, China
    3 Schools of Public Administration and Law, Anhui University of Technology, Maanshan Anhui 243002, China
  • Received:2017-12-03 Revised:2018-02-28 Online:2018-04-28 Published:2020-09-28

摘要: 为提高政府对重大决策社会风险的治理能力,基于耗散结构理论,构建社会风险态势识别模型。首先,利用社会系统熵增累积量和熵流累积量构建社会风险态势判别函数,根据布鲁塞尔器及其转义给出风险态势判别规则;然后,针对风险因素间存在非线性交互作用,提出利用模糊测度和Choquet积分计算社会系统在各时间节点的熵增和熵流,并开发熵增累积量和熵流累积量计算方法;最后,以某市PX项目决策为例进行实证分析。结果表明:加大熵流累积量,减小熵增累积量,有助于减小社会风险,使危险状态转化为安全状态。

关键词: 社会风险, 耗散结构, 重大决策, 模糊测度, Choquet积分

Abstract: In order to improve the government's ability to manage social risk from major decision-making, a social risk situation discrimination model was built based on the dissipative structure theory. First, the entropy production accumulation and entropy flow accumulation in social system were used to construct a social risk situation discrimination function. The discriminant rule of the function was given according to Brusselator and its transferred meaning. Then, to adapt the nonlinear interaction among social risk factors, fuzzy measure and Choquet integral were used to calculate the entropy production and entropy flow in the social system at the different time nodes. At the same time, a method was worked out to calculate the accumulation of entropy production and the accumulation of entropy flow in the social system. Finally, the model was used to discriminant social risk situation caused by a PX project in a certain city. The results show that both increasing the accumulation of entropy flow and reducing the accumulation of entropy production can decrease the social risk, transforming a dangerous situation to a security situation.

Key words: social risk, dissipative structure, major decision-making, fuzzy measure, Choquet integral

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