Identifying Weightages Based on World Bank Data

著者

  • 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

キーワード:

World Bank factors、 hierarchy、 AHP weightage、 Pareto’s Law、 Normalized weightage、

要旨

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.Keywords: World bank factors, hierarchy, AHP weightage, Pareto’s Law, normalized weightageCite this Article N.R. Rajhans, Umesha Kumar Sabat. Identifying Weightages Based On World Bank Data. Journal of Production Research & Management. 2015; 5(1): 1–10p.

著者略歴

  • N. R. Rajhans、 Production Engineering & Industrial Management, College of Engineering Pune, Pune University, Maharashtra, India
    production department(HOD)
  • Umesha Kumar Sabat、 Production Engineering & Industrial Management, College of Engineering Pune, Pune University, Maharashtra, India
    PRODUCTION ENGINEERING, M.TECH-PROJECT MANAGEMENT

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発行日

2015-06-11

巻号

巻 5 号 2 (2015)

セクション

Research Articles

ライセンス

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