Attributes inequality in multidimensional poverty measures fuzzy modeling

Abstract

Poverty is recently considered to be a multidimensional one. That is to say the poor can suffer multiple disadvantages at the same time. This paper aims to further develop and refine the multidimensional poverty measure using Fuzzy Sets Theory (FST). The application of FST starts with the choice of membership functions and the rules to manipulate to integrate attributes inequality in multidimensional poverty measure. An application based on individual well-being data from Tunisian households in 2015 is presented to illustrate use proposed concepts.

Does Land Transfer Enhance the Sustainable Livelihood of Rural Households? Evidence from China

“…Early research on livelihoods concentrated only on poverty [36][37][38]; in particular, attention was paid to income levels, consumption potential, and other aspects of life's necessities. As research has progressed, income and consumption have fallen out of favour as the sole indicators of poverty, due in part to the large number of successful poverty alleviation practices and theoretical advancements [39][40][41].…”

Applied fuzzy summability techniques

“…It includes 15 peer-reviewed articles on various aspects of summability techniques, applications of various summability techniques in solving a variety of problems, and also topics that are either already influenced by advanced summability techniques or appear to have enough scope for applying new and advanced summability techniques. In the following sections, we highlight some of the major aspects of the articles (Ibrahim 2020;Ahmad and Peters 2020;Malhotra and Gupta 2020;Akbar et al 2020;Sezer 2020;Akan and Kiraci 2022;Akram et al 2022;Sindhu and Rashid 2022;Belhadj and Bouanani 2022;Khaleghi and Eydi 2022;Khemiri et al 2022;Patro et al 2022;Kong and Wu 2022;Mehidi et al 2022; Andrade and Re ˆgo 2022) included.…”