Identifying Weightages Based on World Bank Data

Authors

  • N.R. Rajhans Production Engineering & Industrial Management, College of Engineering Pune, Pune University, Maharashtra, India
  • Umesha Kumar Sabat Production Engineering & Industrial Management, College of Engineering Pune, Pune University, Maharashtra, India

DOI:

https://doi.org/10.37591/joprm.v5i2.7179

Keywords:

World bank factors, hierarchy, AHP weightage, Pareto’s Law, normalized weightage

Abstract

This paper states Conceptual hierarchy of World Bank data which represents the relationship between objects or concepts in a hierarchical form. The work presented here focuses on creating hierarchies which have relationship between parent and child nodes but not between siblings. A multi-level hierarchy (conceptual relationship knowledge) can be generated from a set of questionnaire survey of World Bank data by applying factor analysis and decision tree induction techniques. The paper presents results of analysis and calculation of countries growth that experienced banking crises in the period 1980-2014. The analyzed data are World Bank indicators having all factors in the periods before the onset of crises.Economic growth for each country derived using qualitative and quantitative statistical method using analytical hierarchical process (AHP) and Pareto’s Law in single country index profile of World Bank data indicators.

References

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Published

2023-07-26

Issue

Vol. 5 No. 2 (2015)

Section

Articles

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