Poverty measurements in an imprecise environment
Palabras clave:
Poverty, monetary, imprecise environment, evolutionResumen
The traditional approach is to define poverty with respect to a single indicator of well-being,
Such as income or expenditure. But such approaches reflect mere/y one specific aspect of poverty and are not able to represent all of the elements brought to bear. Multidimensional approaches have been proposed which take several aspects of poverty into consideration. Despite its drawbacks. The monetary approach remains unbeatable for quantification of poverty and for tracking its evolution over time. Nonetheless, when one envisions integration of the many different facets of poverty within a multidimensional analysis, it is generally agreed that the transition from a condition of utter privation to a condition of well-being occurs in a gradual manner. Among the current possible approaches that have the potential to reflect this specificity is the use of fuzzy set theory. This theory is. in fact, an extremely powerful tool for mode ling vague concepts such as poverty. The aim of this paper is to use fuzzy set theory and the concept of membership functions to measure poverty
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