ASSESSING THE DEGREE OF DEVELOPMENT IN THE COUNTRY’S BORDER PROVINCES USING DEVELOPMENT INDICATORS THROUGH NUMERICAL TAXONOMY AND TOPSIS MODELS

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SAJADIAN NAHID; EKRAMI NAEEM

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Paper Information

Journal: ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH) Year:2018 | Volume:11 | Issue:41 Page(s): 47-69

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Information Journal Paper

Title

ASSESSING THE DEGREE OF DEVELOPMENT IN THE COUNTRY’S BORDER PROVINCES USING DEVELOPMENT INDICATORS THROUGH NUMERICAL TAXONOMY AND TOPSIS MODELS

Author(s)

SAJADIAN NAHID | EKRAMI NAEEM | Issue Writer Certificate

Keywords

DEVELOPMENTQ2

BORDER PROVINCESQ1

MODELSQ2

THE DEGREE OF DEVELOPMENTQ1

TOPSISQ1

Abstract

The purpose of this research is measuring the DEVELOPMENT indicators in the country's BORDER PROVINCES. Accordingly, sixteen BORDER PROVINCES on the basis of eleven indicators: educational, cultural-sports, religious, political-administrative, infrastructure, health, services, transportation, communications, employment, literates and residential units, drawn from the statistical census of population and housing and the Statistical Yearbook, using numerical taxonomy and TOPSIS model, in order for the level and degree of DEVELOPMENT of the provinces to be determined. The type of the research is applied and library data was collected and analyzed using Excel and Arc GIS mapping software. The results show that: from the total of 16 BORDER PROVINCES; 2 province were marked as developed, 5 provinces Semi-developed, 4 province less-developed and 5 provinces were located as deprived. Khorasan Razavi province with the degree of DEVELOPMENT 0.024 according to numerical taxonomy model and 0.974 according to TOPSIS model were considered as the most developed of the country BORDER PROVINCES and Ilam province with the degree of DEVELOPMENT 0.868 according to numerical taxonomy model and 0.008 according to TOPSIS model were considered as the most deprived of the country BORDER PROVINCES.

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APA: Copy

SAJADIAN, NAHID, & EKRAMI, NAEEM. (2018). ASSESSING THE DEGREE OF DEVELOPMENT IN THE COUNTRY’S BORDER PROVINCES USING DEVELOPMENT INDICATORS THROUGH NUMERICAL TAXONOMY AND TOPSIS MODELS. ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH), 11(41 ), 47-69. SID. https://sid.ir/paper/130477/en

Vancouver: Copy

SAJADIAN NAHID, EKRAMI NAEEM. ASSESSING THE DEGREE OF DEVELOPMENT IN THE COUNTRY’S BORDER PROVINCES USING DEVELOPMENT INDICATORS THROUGH NUMERICAL TAXONOMY AND TOPSIS MODELS. ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH)[Internet]. 2018;11(41 ):47-69. Available from: https://sid.ir/paper/130477/en

IEEE: Copy

NAHID SAJADIAN, and NAEEM EKRAMI, “ASSESSING THE DEGREE OF DEVELOPMENT IN THE COUNTRY’S BORDER PROVINCES USING DEVELOPMENT INDICATORS THROUGH NUMERICAL TAXONOMY AND TOPSIS MODELS,” ENVIRONMENTAL BASED TERRITORIAL PLANNING (AMAYESH), vol. 11, no. 41 , pp. 47–69, 2018, [Online]. Available: https://sid.ir/paper/130477/en

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