The “Fuzzy Set” Approach to Multidimensional Poverty Analysis: Using the Shapley Decomposition to Analyze the Determinants of Poverty in Israel

Author(s):  
Joseph Deutsch ◽  
Jacques Silber

The study was carried out to measure and analyse aspect based multidimensional poverty in rural and urban Haryana using a fuzzy set approach. The necessary data for the study was obtained from the 69th round conducted in 2012 by the NSSO on drinking water, sanitation, hygiene, and housing conditions. The Totally Fuzzy and Relative Approach was used. The fuzzy multidimensional poverty index for rural, urban and overall Haryana was calculated based on drinking water, sanitation, and housing conditions. The results revealed that 33.28 percent of households in Haryana overall were multidimentionally poor, with 36.64 percent of households in rural and 30.46 percent in urban areas. The government should lay the water connections and water pipes, construction of individual household latrines, sanitary complex for women, school, and sanitation housing schemes for all BPL families under schemes initiated by the government to overcome poverty based on these aspects.


2018 ◽  
Vol 33 (3) ◽  
pp. 551-572 ◽  
Author(s):  
Gaurav Datt

Abstract This paper presents axiomatic arguments to make the case for distribution-sensitive multidimensional poverty measures. The commonly used counting measures violate the strong transfer axiom, which requires regressive transfers to be unambiguously poverty increasing, and they are also invariant to changes in the distribution of a given set of deprivations among the poor. The paper appeals to strong transfer as well as an additional cross-dimensional convexity property to offer axiomatic justification for distribution-sensitive multidimensional poverty measures. Given the nonlinear structure of these measures, it is also shown how the problem of an exact dimensional decomposition can be solved using Shapley decomposition methods to assess dimensional contributions to poverty. An empirical illustration for India highlights distinctive features of the distribution-sensitive measures.


2017 ◽  
Vol 2 (17) ◽  
pp. 63-72
Author(s):  
Suzanna Bright ◽  
Chisomo Selemani

Functional approaches to disability measurement in Zambia reveals an overall disability prevalence rate of 13.4%, 4% of whom are recorded as having “speech impairment” (Zambia Federation of the Disabled [ZAFOD], 2006). Further, multidimensional poverty assessments indicate that 48.6% of Zambia's approximately 16 million citizens are impoverished. Currently, there are three internationally qualified speech-language pathologists (SLPs) providing services within Zambia's capital city, Lusaka. Given these statistics, it follows that a significant number of Zambian's, experiencing communication disability, are unable to access specialist assessment and support. Over the past decade, Zambia has seen two very different approaches to address this service gap—firstly, a larger scale top-down approach through the implementation of a formal master's degree program and more recently a smaller scale, bottom-up approach, building the capacity of existing professionals working in the field of communication disability. This article provides an overview of both programs and the context, unique to Zambia, in which they have developed. Authors describe the implementation challenges encountered and program successes leading to a discussion of the weakness and merits to both programs, in an attempt to draw lessons from which future efforts to support communication disability and SLP service development in Majority World contexts may benefit.


1978 ◽  
Vol 23 (5) ◽  
pp. 319-320
Author(s):  
LEWIS WOLFGANG BRANDT
Keyword(s):  

1990 ◽  
Vol 29 (04) ◽  
pp. 386-392 ◽  
Author(s):  
R. Degani ◽  
G. Bortolan

AbstractThe main lines ofthe program designed for the interpretation of ECGs, developed in Padova by LADSEB-CNR with the cooperation of the Medical School of the University of Padova are described. In particular, the strategies used for (i) morphology recognition, (ii) measurement evaluation, and (iii) linguistic decision making are illustrated. The main aspect which discerns this program in comparison with other approaches to computerized electrocardiography is its ability of managing the imprecision in both the measurements and the medical knowledge through the use of fuzzy-set methodologies. So-called possibility distributions are used to represent ill-defined parameters as well as threshold limits for diagnostic criteria. In this way, smooth conclusions are derived when the evidence does not support a crisp decision. The influence of the CSE project on the evolution of the Padova program is illustrated.


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