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一个用于预防和控制登革热的智能决策支持系统。

An intelligent decision support system to prevent and control of dengue.

作者信息

Lopez Daphne, Manogaran Gunasekaran, Varatharajan R, Abbas Kaja M

机构信息

School of Information Technology and Engineering, VIT University, Vellore, India.

University of California, Davis, USA.

出版信息

J Ambient Intell Humaniz Comput. 2018 Jun 7. doi: 10.1007/s12652-018-0829-9.

DOI:10.1007/s12652-018-0829-9
PMID:40936964
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12422163/
Abstract

Prevention and control of dengue fever are considered as a complex problem in day-to-day life. Noticeable changes in the human population growth, life style, and climate would cause more dengue outbreak in all over the world. The Government of India has developed a number of prevention and control strategies to protect individuals from dengue fever. Though, the strategies provided by the government are not identified based on people, space and time. In order to overcome this issue, the proposed approach presents various alternatives such as vaccination, disease surveillance, vector control, proper sanitation and increased accessed to safe drinking water, strengthening public health activities, awareness creation, and improving nutrition foods for women and child. The proposed alternatives are selected based on people, space and time criteria's such as low temperature and heavy rain, high mean temperature and high humidity, water accumulation and rainfall resources and facilities, social culture variable and social demographic variable. The selection of alternatives based on multiple criteria's is considered as a complex problem in decision-making framework. In general, decision makers and administrators are often used linguistic terms to give their opinions. This paper uses fuzzy logic based VIKOR (VIsekriterijumska optimizacija i KOmpromisno Resenje) method to analyze the linguistic terms collected from the decision makers and rank the best alternatives based on multiple criteria's.

摘要

在日常生活中,登革热的预防和控制被视为一个复杂的问题。人口增长、生活方式和气候的显著变化将导致全球更多登革热疫情的爆发。印度政府已制定了一些预防和控制策略来保护个人免受登革热的侵害。然而,政府提供的策略并未根据人群、空间和时间来确定。为了克服这个问题,所提出的方法提出了各种替代方案,如疫苗接种、疾病监测、病媒控制、适当的卫生设施以及增加安全饮用水的获取、加强公共卫生活动、提高认识以及改善妇女和儿童的营养食品。所提出的替代方案是根据人群、空间和时间标准来选择的,如低温和大雨、高平均温度和高湿度、积水和降雨资源及设施、社会文化变量和社会人口变量。在决策框架中,基于多个标准选择替代方案被视为一个复杂的问题。一般来说,决策者和管理人员经常使用语言术语来表达他们的意见。本文使用基于模糊逻辑的VIKOR(多准则优化和妥协解决方案)方法来分析从决策者那里收集到的语言术语,并根据多个标准对最佳替代方案进行排名。

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