Defining Poverty Using Dominance-Based Rough Set Theory and Proposing Strategic Objectives for the United Nations Developing Countries
- 1 Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, Canada
- 2 Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, Canada
- 3 Université du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, Canada
Abstract
This article is the last of a series of three researches. The purpose of this research is to expose the results of using Dominance-based Rough Set Approach (DRSA) to help International organizations (both non-governmental organizations and governmental organizations) define poverty, identifying economical, sociological, political and technological strategic objectives for developing countries. More precisely, politicians, decision makers and international organizations will be able to study 23 various political, economical, sociological and technological indicators and classify all the countries according to the following three different categories: [A] Countries that are doing well according to the selected indicators; [B] Countries that need support to acquire category A status; [C] Countries ranked the lowest and meeting special support with regard to the criterion or criteria considered. The three categories are delimited by tertiles relative to the average ranking of the member states of the United Nations. The chosen criteria are measured in order to provide decision rules based on this classification. These decision rules thus focus on the strategic needs of countries with respect to improving their development and classification. We strongly believe that by targeting these identified needs, this research will help the sustainable development of countries in need to set realistic targets, prioritize International funding, evaluate economical growth and sociological improvements. Among the results of this article, priorities for countries ranked the lowest should focus on reducing adolescent fertility and increasing school life expectancy.
- Marin, J.-C., Trudel, B. and Zaras, K. (2018) Identifying Strategic Development Objectives for African Countries Using Dominance-Based Rough Set Approach: The Poverty String Theory. Modern Economy, 9, 1262-1286. https://doi.org/10.4236/me.2018.97082
- Trudel, B, Marin, J.-C. and Zaras, K. (2018) Identifying Strategic Development Objectives for European Union’s Potential Candidate States Using Dominance-Based Rough Set Approach: Case Study of Bosnia and Herzegovina. Modern Economy, 9, 1452-1464. https://doi.org/10.4236/me.2018.98092
- The World Bank, Poverty and Shared Prosperity Report 2016.
- Akindola, R. (2009) Towards a Definition of Poverty, Journal of Developing Societies, 25, 121-150. https://doi.org/10.1177/0169796X0902500201
- World Economic Situation and Prospects 2018, United Nations.
- Pawlak, Z. (1982) Rough Set. International Journal of Parallel Programming, 11, 341-356.
- Pawlak, Z. (1991) Rough Sets: Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishing, Dordrecht. https://doi.org/10.1007/978-94-011-3534-4
- Pawlak, Z. and Slowinski, R. (1994) Rough Set Approach to Multi-Attribute Decision Analysis. European Journal Operational Research, 72, 443-459. https://doi.org/10.1016/0377-2217(94)90415-4
- Pawlak, Z. (2002) Rough Set Theory and Its Applications. Journal of Telecommunications and Information Theory, 3, 7-10.
- Greco, S., Matarazzo, B. and Slowiński, R. (2001) Rough Sets Theory for Multi-Criteria Decision Analysis. European Journal of Operational Research, 129, 1-47. https://doi.org/10.1016/S0377-2217(00)00167-3
- Zaras, K. (2004) Rough Approximation of a Preference Relation by a Multi-Attribute Stochastic Dominance for Deterministic, Stochastic and Fuzzy EvaluationProblems. European Journal of Operational Research, 159, 196-206. https://doi.org/10.1016/S0377-2217(03)00391-6
- Zaras, K., Marin, J.-C. and Boudreau-Trudel, B. (2012) Dominance Rough Set Approach as a Decision-Making Method for the Selection of Sustainable Development Projects. American Journal of Operational Research, 2, 506.
- Ho, H., Fann, W., Chiang, H., Nguyen, P., Pham, D., Nguyen, P. and Nagai, M. (2016) Application of Rough Set, GSM and MSM to Analyze Learning Outcome—An Example Introduction to Education. Journal of Intelligent Learning Systems and Applications, 8, 23-38. https://doi.org/10.4236/jilsa.2016.81003