DOI: 10.5176/2251-1938_ORS18.13
Authors: Darshan Maheshwari, Soham Mandavkar, Ameya Pathak, Dr. Neela Rajhans
Abstract:
World Bank provides multiple attributes that are used to establish the economic growth of any country numerically. This data is used to state, model and predict the growth of the country. The enormity of the data makes it very difficult for Attributes comprising of different categories makes it difficult to work with the complete data. This difficulty also enhances when the data is insufficient and insignificant. To maximize the accuracy representing the growth of the country, it is essential to decrease the number of attributes to be taken into account. This paper uses the Multi-Criteria Decision Making techniques to sort out and identify prominent parameters which help in determining the progress of a country. The work presented here is formulated into a parent-child hierarchy. This paper provides helpful insights, through extensive use of Analytical Hierarchy Process, in identifying, isolating and prioritizing the attributes amongst over 500 attributes. It depicts the unbiased analysis of all the attributes.
Keywords: Economic Growth, Multiple Attributes, Analytic Hierarchy Process, Multi Criteria Decision Making
Updating...