Expert Decision Support Technique for Algal Bloom Governance in Urban Lakes Based on Text Analysis

Clicks: 272
ID: 265861
2017
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Abstract
As a typical phenomenon of eutrophication pollution, algal bloom threatens public health and water security. The governance of algal bloom is largely affected by administrators’ knowledge and experience, which may lead to a subjective and one-sided decision-making result. Meanwhile, experts in the specific field can provide professional support. How to utilize expert resources adequately and automatically has been a problem. This paper proposes an expert decision support technique for algal bloom governance based on text analysis methods. Firstly, the decision support mechanism is introduced to form a general decision-making framework. Secondly, the expert classification method is proposed to help with choosing suitable experts. Thirdly, a multi-criteria group decision-making method is presented based on the automatic analysis of experts’ decision opinions. Finally, an experiment is conducted to verify the expert decision support technique. The results show the technique’s feasibility and rationality. This paper describes experts’ information and opinions with natural language, which can intuitively reflect the natural meaning. The expert decision support technique based on text analysis broadens the management thought of water pollution in urban lakes.
Reference Key
bai2017waterexpert Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Yu-Ting Bai;Bai-Hai Zhang;Xiao-Yi Wang;Xue-Bo Jin;Ji-Ping Xu;Zhao-Yang Wang;Bai, Yu-Ting;Zhang, Bai-Hai;Wang, Xiao-Yi;Jin, Xue-Bo;Xu, Ji-Ping;Wang, Zhao-Yang;
Journal water
Year 2017
DOI
10.3390/w9050308
URL
https://www.mdpi.com/2073-4441/9/5/308#citedby
Keywords
eutrophication text analysis algal bloom urban lake governance decision-making

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