Fuzzy regional inequality measurement: a new stochastic dominance approach with application to Tunisia

Jmaii, Amal; Belhadj, Besma

doi:10.1504/ijiei.2017.10007594

Cited by 2 publications

(2 citation statements)

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“…Kumar and Inbarani (2017) objective was to use data processing methods to unravel the biomedical difficulties of detecting a selection of arrhythmia conditions from patient s electrocardiograph signals. Jmaii and Belhadj (2017) proposed a fuzzy version of dynamic stochastic approach to analyse between-region inequalities in Tunisia.…”

Section: Introductionmentioning

confidence: 99%

POFGURST: an expert intelligent system for mechanised oil palm fruit evaluating framework

Patkar

Anjaneyulu

Mouli

2019

IJIEI

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The POFGURST framework is a product bundle for palm oil organic product reviewing initiating unpleasant set based lead models. It is an apparatus for reviewing utilising unthinkable information inside the structure of harsh set hypothesis. POFGURST is intended to support the palm oil reviewing and information revelation process: From beginning perusing and preprocessing of the information, by means of calculation of insignificant trait sets and generation of if-then standards or expressive examples, to approval and investigation of the initiated principles or examples. POFGURST offers an exceedingly natural GUI environment where information navigational capacities are underlined. This product is uniquely intended for oil palm fruit evaluating and also malady expectation.

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Section: Introductionmentioning

confidence: 99%

POFGURST: an expert intelligent system for mechanised oil palm fruit evaluating framework

Patkar

Anjaneyulu

Mouli

2019

IJIEI

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“…Among the few searches on Tunisia, we cite the work of Ben Rejeb (2008) who used pseudo-panel approach to estimate the permanent expenditures. In addition, Jmaii and Belhadj (2016) used fuzzy approach to run a dynamic analysis based on the Jalan-Ravallion framework.…”

Section: Introductionmentioning

confidence: 99%

An Endogenous Switching Model to Poverty Dynamic Assessment in Tunisia

Jmaii¹

2017

International Journal of Service Science, Management, Engineering, and Technology

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This paper focus on the determinants of poverty dynamics in Tunisia by performing a two-stage endogenous model using a Bayesian algorithm to avoid missing data. Based on this approach author show that panel data analysis can be performed through potential variables such presented by the work of Donald B. Rubin. This contribution is rather empirical; researcher propose a method based on the concept of causal inference that enable to execute a panel data model using independent surveys. As the author assert the dependence between poverty status over time, they choose to use an endogenous switching model take into consideration the form of endogeneity caused by initial condition.

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Fuzzy regional inequality measurement: a new stochastic dominance approach with application to Tunisia

Cited by 2 publications

References 0 publications

POFGURST: an expert intelligent system for mechanised oil palm fruit evaluating framework

POFGURST: an expert intelligent system for mechanised oil palm fruit evaluating framework

An Endogenous Switching Model to Poverty Dynamic Assessment in Tunisia

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