A Novel Framework to Strengthen Early Warning Systems

被引：0

作者：

Ahuja, Harita ^{[1
]}

Narang, Sunita ^{[1
]}

Saxena, Rakhi ^{[2
]}

机构：

[1] Univ Delhi, Acharya Narendra Dev Coll, Dept Comp Sci, Delhi 110007, India

[2] Univ Delhi, Deshbandhu Coll, Dept Comp Sci, Delhi, India

来源：

ENGINEERING TECHNOLOGY & APPLIED SCIENCE RESEARCH | 2023年 / 13卷 / 05期

关键词：

KMCDM; TOPSIS; disaster management; EWS; TOPSIS;

D O I：

10.48084/etasr.6289

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The impact of disasters on the population and environment is an important research area. Multiple criteria need to be analyzed while making policy decisions in order to control the effect of a disaster. Researchers have used many variants of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a Multi-Criteria Decision-Making (MCDM) method for prioritizing the alternatives. Additionally, the detrimental effects of disasters have compelled stakeholders to proactively prepare by strengthening crucial key elements of an Early Warning System (EWS) so that timely alerts can be produced. In this paper, a Disaster Information Provider (DIP) framework is proposed, which employs a TOPSIS variant to bolster weak elements of a people-centric EWS. Governments may utilize delivered rankings to strengthen the weak elements of the EWS in an affected area. Extensive experimentation proves the usability of the DIP framework for strengthening EWS.

引用

页码：11917 / 11923

页数：7

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