Measuring poverty using fuzzy set approach: Turkish case

Alper Basaran; Suleyman Gunay; Ahmet Burcin Yereli

Measuring poverty using fuzzy set approach: Turkish case

Alper Basaran
, Suleyman Gunay
, Ahmet Burcin Yereli

Division of Budget and Financial Planning

Hacettepe University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In the literature, The most mentioned issues about measuring poverty are its multi dimensionality and vagueness. Besides traditional approaches fuzzy approaches are widely employed. In this study fuzzy index of poverty (FIP) is calculated for Turkey based on approximately 25000 households. The indicators are disposable income, food expenditure, clothing and footwear expenditures and habitable area per person.

Original language	English
Title of host publication	Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference
Pages	84-87
Number of pages	4
Publication status	Published - 2005
Event	Joint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005 - Barcelona, Spain Duration: 7 Sept 2005 → 9 Sept 2005

Publication series

Name	Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference

Conference

Conference	Joint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005
Country/Territory	Spain
City	Barcelona
Period	7/09/05 → 9/09/05

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty

Keywords

Fuzzy index
Fuzzy set
Membership function
Poverty

Cite this

Basaran, A., Gunay, S., & Yereli, A. B. (2005). Measuring poverty using fuzzy set approach: Turkish case. In Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference (pp. 84-87). (Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference).

Basaran, Alper ; Gunay, Suleyman ; Yereli, Ahmet Burcin. / Measuring poverty using fuzzy set approach : Turkish case. Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference. 2005. pp. 84-87 (Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference).

@inproceedings{bbb2219611934f07a5703cbd1cefd28e,

title = "Measuring poverty using fuzzy set approach: Turkish case",

abstract = "In the literature, The most mentioned issues about measuring poverty are its multi dimensionality and vagueness. Besides traditional approaches fuzzy approaches are widely employed. In this study fuzzy index of poverty (FIP) is calculated for Turkey based on approximately 25000 households. The indicators are disposable income, food expenditure, clothing and footwear expenditures and habitable area per person.",

keywords = "Fuzzy index, Fuzzy set, Membership function, Poverty",

author = "Alper Basaran and Suleyman Gunay and Yereli, \{Ahmet Burcin\}",

year = "2005",

language = "English",

isbn = "8476538723",

series = "Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference",

pages = "84--87",

booktitle = "Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference",

note = "Joint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005 ; Conference date: 07-09-2005 Through 09-09-2005",

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Basaran, A, Gunay, S & Yereli, AB 2005, Measuring poverty using fuzzy set approach: Turkish case. in Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference. Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference, pp. 84-87, Joint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005, Barcelona, Spain, 7/09/05.

Measuring poverty using fuzzy set approach: Turkish case. / Basaran, Alper; Gunay, Suleyman; Yereli, Ahmet Burcin.
Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference. 2005. p. 84-87 (Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Measuring poverty using fuzzy set approach

T2 - Joint 4th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2005 and 11th French Days on Fuzzy Logic and Applications, LFA 2005

AU - Basaran, Alper

AU - Gunay, Suleyman

AU - Yereli, Ahmet Burcin

PY - 2005

Y1 - 2005

N2 - In the literature, The most mentioned issues about measuring poverty are its multi dimensionality and vagueness. Besides traditional approaches fuzzy approaches are widely employed. In this study fuzzy index of poverty (FIP) is calculated for Turkey based on approximately 25000 households. The indicators are disposable income, food expenditure, clothing and footwear expenditures and habitable area per person.

AB - In the literature, The most mentioned issues about measuring poverty are its multi dimensionality and vagueness. Besides traditional approaches fuzzy approaches are widely employed. In this study fuzzy index of poverty (FIP) is calculated for Turkey based on approximately 25000 households. The indicators are disposable income, food expenditure, clothing and footwear expenditures and habitable area per person.

KW - Fuzzy index

KW - Fuzzy set

KW - Membership function

KW - Poverty

UR - https://www.scopus.com/pages/publications/84871990952

M3 - Conference contribution

AN - SCOPUS:84871990952

SN - 8476538723

SN - 9788476538722

T3 - Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference

SP - 84

EP - 87

BT - Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference

Y2 - 7 September 2005 through 9 September 2005

ER -

Basaran A, Gunay S, Yereli AB. Measuring poverty using fuzzy set approach: Turkish case. In Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference. 2005. p. 84-87. (Proceedings - 4th Conference of the European Society for Fuzzy Logic and Technology and 11th French Days on Fuzzy Logic and Applications, EUSFLAT-LFA 2005 Joint Conference).

Measuring poverty using fuzzy set approach: Turkish case

Abstract

Publication series

Conference

UN SDGs

Keywords

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Cite this