KFU. Card publication. Estimation of the Engel Curve using the Method of Fuzzy Regression to Assess the Level of Welfare in the Republic of Tatarstan

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ESTIMATION OF THE ENGEL CURVE USING THE METHOD OF FUZZY REGRESSION TO ASSESS THE LEVEL OF WELFARE IN THE REPUBLIC OF TATARSTAN

Form of presentation

Articles in international journals and collections

Year of publication

2015

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Authors, employees of KFU

Sabirova Aygul Ilshatovna, author

Khasanova Svetlana Fanilevna, author

Bibliographic description in the original language

Aygul Ilshatovna Sabirova, Svetlana Fanilevna Khasanova, Parameter Estimation of the Engel Curve using the Method of Fuzzy Regression to Assess the Level of Welfare in the Republic of Tatarstan, Procedia Economics and Finance, Volume 24, 2015, Pages 550-556, ISSN 2212-5671, http://dx.doi.org/10.1016/S2212-5671(15)00631-0. (Web of science)

Annotation

Procedia Economics and Finance

Keywords

Engel curves, Tornqvist functions, welfare, food availability, food security, fuzzy sets, fuzzy regression

The name of the journal

Procedia Economics and Finance

URL

http://www.sciencedirect.com/science/article/pii/S2212567115006310

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=122946&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Sabirova Aygul Ilshatovna	ru_RU
dc.contributor.author	Khasanova Svetlana Fanilevna	ru_RU
dc.date.accessioned	2015-01-01T00:00:00Z	ru_RU
dc.date.available	2015-01-01T00:00:00Z	ru_RU
dc.date.issued	2015	ru_RU
dc.identifier.citation	Aygul Ilshatovna Sabirova, Svetlana Fanilevna Khasanova, Parameter Estimation of the Engel Curve using the Method of Fuzzy Regression to Assess the Level of Welfare in the Republic of Tatarstan, Procedia Economics and Finance, Volume 24, 2015, Pages 550-556, ISSN 2212-5671, http://dx.doi.org/10.1016/S2212-5671(15)00631-0. (Web of science)	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=122946&p_lang=2	ru_RU
dc.description.abstract	Procedia Economics and Finance	ru_RU
dc.description.abstract	This article proposes the estimating method of a quality indicator of «population welfare in the region« based on the theory of fuzzy sets. For welfare analysis there are estimated the parameters of Engel curves using the method of fuzzy regression. The resulting model parameters are triangular fuzzy numbers whose cofactor is the fuzzy evaluation of the welfare population in the region. For deffasification of obtained fuzzy number, there is calculated the area of the intersection of fuzzy numbers of the actual wealth level and the possible linguistic terms from «absolute poverty« to «a high level of well-being«. These obtained results suggest that the population of the Republic of Tatarstan has a good and a high level of well-being. The proposed methodology provides an analysis on the short time series and takes account of incomplete or inaccurate information.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Engel curves	ru_RU
dc.subject	Tornqvist functions	ru_RU
dc.subject	welfare	ru_RU
dc.subject	food availability	ru_RU
dc.subject	food security	ru_RU
dc.subject	fuzzy sets	ru_RU
dc.subject	fuzzy regression	ru_RU
dc.title	Estimation of the Engel Curve using the Method of Fuzzy Regression to Assess the Level of Welfare in the Republic of Tatarstan	ru_RU
dc.type	Articles in international journals and collections	ru_RU