|本期目录/Table of Contents|

[1]李莎莎,崔铁军.基于对象隶属等级分布的等级合并判断方法*[J].中国安全生产科学技术,2024,20(1):187-192.[doi:10.11731/j.issn.1673-193x.2024.01.028]
　LI Shasha,CUI Tiejun.Method of grade combination judgment based on object membership grade distribution[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2024,20(1):187-192.[doi:10.11731/j.issn.1673-193x.2024.01.028]
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基于对象隶属等级分布的等级合并判断方法*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
20
期数:
2024年1期
页码:
187-192
栏目:
职业安全卫生管理与技术
出版日期:
2024-01-31

文章信息/Info

Title:
Method of grade combination judgment based on object membership grade distribution
文章编号:
1673-193X(2024)-01-0187-06
作者:
李莎莎; 崔铁军
（沈阳理工大学 环境与化学工程学院，辽宁 沈阳 110159）
Author(s):
LI Shasha;  CUI Tiejun
(School of Environmental and Chemical Engineering,Shenyang Ligong University,Shenyang Liaoning 110159,China)
关键词:
安全系统工程; 系统功能状态; 对象隶属等级; 邻域相似度; 等级合并
Keywords:
safety system engineering;  system function status;  object membership grade;  neighborhood similarity;  grade combination
分类号:
X913
DOI:
10.11731/j.issn.1673-193x.2024.01.028
文献标志码:
A
摘要:
为了解系统功能状态评价、预测和分析中需要的数据形式和等级划分，提出对象隶属等级分布概念和等级合并判断方法，建立用于分析的变量系统，对相邻2个语义等级的相似度进行判断，提出分析多因素语义等级相似性的方法，最终形成隶属等级空间。研究结果表明：对系统功能状态进行评价、预测和分析的基础是以目标-对象-因素-分级所构成的数据结构。该数据结构可通过对象隶属等级分布的形式呈现，但该分布存在等级划分不准确、受多因素影响和对象隶属等级判断不准确等问题。针对这些问题，提出因素语义等级和等级值域的合并判断方法，方法以出现在邻域中的对象数量期望值为基础构建邻域相似度，给出单因素语义等级和等级值域合并的判定方法和流程。研究结果可为对象隶属等级确定提供判断方法，为安全评价等对象分类提供支持。
Abstract:
In order to understand the data form and grade division required in the evaluation,prediction and analysis of system function status,the concept of object membership grade distribution and the method of grade combination judgment were proposed.A variable system for analysis was established,and the similarity between two adjacent semantic grades was judged.A method for analyzing the similarity of multiple factor semantic grades was proposed,and finally a membership grade space was formed.The results show that the basis of evaluation,prediction and analysis of system function status is the data structure composed of target-object-factor-classification.The data structure can be presented in the form of object membership grade distribution.However,there are some problems in this distribution,such as inaccurate grade division,affected by multiple factors,and inaccurate judgment of object membership grade.To solve these problems,a combination judgment method of factor semantic grade and grade range is proposed.Based on the expected number of objects appearing in the neighborhood,the neighborhood similarity is constructed.The combination judgment method and process of single factor semantic grade and grade range are given.The research results can provide a judgment method for determining the membership grade of objects and support the object classification such as safety assessment.

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备注/Memo

备注/Memo:
收稿日期： 2023-04-10
* 基金项目： 国家自然科学基金项目(52004120)
作者简介： 李莎莎，博士，教授，主要研究方向为安全系统工程、系统可靠性。
更新日期/Last Update: 2024-02-19