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A Novel Method for Disaster Relief Management: CMQI System

Vol 7 , Issue 1 , January - June 2020 | Pages: 47-59 | Research Paper  

 
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https://doi.org/10.17492/manthan.v7i1.195706


Author Details ( * ) denotes Corresponding author

1. * Sandeep Bhattacharjee, Assistant Professor, Amity School of Business, Amity University Kolkata, Kolkata, West Bengal, India (sandeepbitmba@gmail.com)

Natural disasters have a common place in human history. Disasters of different types can occur and affect human lives, their materials, belongings, livestock etc. With the growth of science and technology, the possibilities to identify and detect such natural and undesired events have increased to a large extent. Concepts such as artificial intelligence and database management systems can be used together with impunity to predict, prevent, minimize, and store better preventive results for customized improvements. In this exploratory research, we have tried to observe how some of the prominent disasters have impacted the population in India’s past history. We have also tried to create a flowchart and mathematical model as a suggestive model that can be implemented for future use in disaster related scenarios. This paper points to a new suggestive model for disaster recovery management that is actually needed in realistic situations. This paper can be used by academicians, researchers, disaster relief groups and government agencies for disaster relief management systems.

Keywords

Disaster; Deaths; Intelligence; Database; Information

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