基于“拉开档次”法的网络信息污染状况模糊语言评价研究

  • 万晓榆 ,
  • 王在宇 ,
  • 蒋婷
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  • 重庆邮电大学经济管理学院

网络出版日期: 2025-04-28

Research on the Evaluation Model for Network Pollution Status Based on Fuzzy Linguistic Assessments and the Scatter Degree Method

  • Wan Xiaoyu ,
  • Wang Zaiyu ,
  • Jiang Ting
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  • School of Economics & Management, Chongqing University of Posts and Telecommunications

Online published: 2025-04-28

摘要

[目的/意义] 网络信息污染已经为广大人民群众所深恶痛绝,对网络信息污染状况做出科学的评价,将此问题置于公众的监督之下,有助于提升解决问题的效率。[方法/过程] 本文结合12321中心数据和公众问卷调研数据,运用模糊语言改进的“拉开档次”方法确定指标权重,使用TOPSIS方法集结评价信息。[结果/结论] 2014年2月至2016年10月期间,网络信息污染整体状况形势较为严峻,尤以2015年3、4月时段信息污染最为严重。本文基于模糊语言的改进“拉开档次”方法相比传统“拉开档次”方法,具有更好的评价单元区分能力。

本文引用格式

万晓榆 , 王在宇 , 蒋婷 . 基于“拉开档次”法的网络信息污染状况模糊语言评价研究[J]. 知识管理论坛, 2017 , 2(2) : 145 -155 . DOI: 10.13266/j.issn.2095-5472.2017.016

Abstract

[Purpose/significance] Network pollution has been hated heavily by the crowd. It’s essential and helpful to enhance the efficiency of solving this complex problem to expose it through a scientific evaluation way. [Method/process] Based on 417 questionnaires, a way of gaining subjective weights combined with fuzzy linguistic assessments was designed in this paper. In the end, the TOPSIS method was applied to gather the evaluation results. [Result/conclusion]From February 2014 to October 2016, the network pollution status was severe overall. The status of network in March & April 2015 was the worst during the whole time. And the improved scatter degree method in this paper can distinguish the units easier compared with the traditional one.
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