Copeland Modelini Kullanarak Tebriz'in Kırsal Alanlarının Gelişim Düzeyini Değerlendirme ve Sıralama ve Sonuçları Topsis, Vikor ve Electre Modelleriyle Karşılaştırma

Yıl 2020, , 498 - 509, 30.09.2020

Soheila Heidarzadeh Razieh Pourdarbani , Fatemeh Zadvali Asghar Pashazadeh

https://doi.org/10.29133/yyutbd.646630

Öz

Tarımsal gelişme, kırsal kalkınma sürecinin önemli bir parçasıdır ve tarımsal gelişme olmadan gelişmiş bir dünyayı hayal etmek imkansızdır. Dolayısıyla, bu çalışmanın amacı Tebriz kırsal alanlarındaki tarımsal gelişme düzeyini belirlemek ve bunları Topsis, Vikor, Electre ve Copeland modellerini kullanarak tarımsal gelişme açısından sıralamaktır. Bu çalışmada, Eğitim seviyesi, tarla ve bahçe alanları, mekanizasyon seviyesi, hayvancılık, balık çiftliği, servis desteği ve verim olmak üzere 8 tarımsal kriter kullanılmıştır. Kriterlerin ağırlığı eşleştirilmiş karşılaştırma yöntemiyle belirlenmiş ve tüm analiz adımları Excel yazılımı ile yapılmış ve harita oluşturmak için son olarak GIS yazılımı kullanılmıştır. Sonuçlar, Topsis modelinde Lahijan'ın birinci, Ajichai'nin en son ve Vikor modelinde Lahijan'ın birinci, Maidanchai'nin sonuncu olduğunu göstermiştir. Böylece modellerin sonuçları üzerinde fikir birliği sağlamak için Copeland yöntemi kullanılmıştır. Copeland'ın yöntemi, kazanan adayın en fazla ikili galibiyet ile bularak belirlendiği bir Condorcet yöntemidir. Copeland modeline göre, Lahijan ve Ajichai sırasıyla birinci ve altıncı sırada yer almıştır. Tüm dikkate alınan kırsal alanların statüsü “gelişme aşamasında” bulunmuştur. Değişim katsayısı, balık çiftliği kriterlerinin (CV = 2.24) köyler arasında en fazla eşitsizliğe sahip olduğunu ve pirinç verim kriterlerinin (CV = 0) köyler arasında en uygun dağılıma sahip olduğunu göstermiştir.

Anahtar Kelimeler

Kalkınma, Topsis, Vikor, Electre, Copeland, Tebriz

Evaluating and Ranking the Development level of Rural Areas of Tabriz using Copeland Model and Comparison the Results with Topsis, Vikor and Electre Models

Öz

Agricultural development is a major part of the rural development process, and it is impossible to imagine a developed world without agricultural development. Thus, the purpose of this study was to determine the level of agricultural development in Tabriz rural areas and to rank them in terms of agricultural development using Topsis, Vikor, Electre, and Copeland models. In this study, 8 agricultural criteria including level of Education, area of fields and orchards, mechanization level, livestock, fish farming, service-support and yield were used. The weight of the criteria was determined by paired comparison method and all the analysis steps were performed by Excel software and finally GIS software was used to produce the map. The results indicated that in the Topsis model, Lahijan was ranked first and Ajichai was the last, and in the Vikor model, Lahijan was ranked first and Maidanchai was the last. Thus to obtain consensus on the results of the models, Copeland method was used. Copeland's method is a Condorcet method in which the winner is determined by finding the candidate with the most pairwise victories. According to the Copeland model, Lahijan and Ajichai were ranked first and sixth, respectively. The status of all the considered rural areas was at "in developing" status. Coefficient of variation showed that fish farming criteria (CV=2.24) had the most distribution inequality among the villages and rice yield criteria (CV=0) had the most suitable distribution among the villages. 

Anahtar Kelimeler

Development, Topsis, Vikor, Electre, Copeland, Tabriz

Kaynakça

• Al-Hassan, R. M. (2007). Regional disparities in Ghana: policy options and public invetment implications, University of Ghana,Xinshen Diao, International Food Policy Research, 21(2).Amiri, M., A. Darestani Farahani, (2013). Multiple Criteria Decision Making, Kian University Publishing, Tehran, Iran.Badri, A., Akbarian Ronizi, Q. and Javaheri, h. (2005). Determining the Development Levels of Rural Areas of Kamyaran County, Geographical Research Quarterly, 82: 21-36 (In Farsi).Eslahi, A., (2011). Measuring and Analyzing the Development Level of Rural Areas of Zanjan in 2001 to 2006 , M.Sc. Thesis, University of Tabriz. Tabriz, Iran.Fayyaz Azar, P. Zarifians, Sh. and Rachel, h. (2012). Comparison and Analysis of Development Level of Tabriz Rural Areas. M.Sc. Thesis, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.Heidari S., (2012). Prioritization of Meshginshahr Rural Areas by Agricultural Development Levels. Geography and Planning, 16(40): 96-75 (In Farsi).Jamshidi, M. K., Mohammadi, B. And Hosseinzadeh, A. (2018). An Analysis of the Factors Affecting Development and Its Role in Rural Migration (Case Study: Zanjan). Regional Planning Quarterly. 8(32): pp. 11-22 (In Farsi).Kabli, MR. (2009). A Multi – Attrribute Decision Making Methodology For Selectiing New R&D Projects Portfolio With A CaseE Study of SaudiI Oil Refining Indestry. P.h.D. Thesis, Uiversityof Nottingham. Kalantari, Kh., (2012). Quantitative Models in Planning, Saba Publishing, Tehran, Iran.Khakpour, B., (2006). Evaluation of Development Plans for Shirvan Rural Areas, Journal of Geography and Regional Development, 7(1): 34-48 (In Farsi).Kohansal, M., Rafiei Darani, H. (2009). Evaluation of Agricultural Development Degree in Khorasan Razavi Provinces by Numerical Taxonomy Method. Agricultural Economics. 3(4): 45-66 (In Farsi).Latifi, Gh., (2009). Perspectives on Development, Social Science, 20: 85-74 (In Farsi).Matin, N., (1995). Investigation of agricultural development in different provinces of Iran. Jihad. 15(175): 9-16 (In Farsi).Nezamfar, H and Alibakhshi, A. (2013). Evaluation of Khuzestan Provincial Cities' Development Indicators Using Integration Technique. Geographical Preparation Quarterly. 4(14): pp. 178-151 (In Farsi).Pezeshki, v., and. Zarafshani, K., (2008). Application of Fuzzy Logic and development of Model for Evaluation of Agricultural Development Levels of Kermanshah rural areas. Journal of Rural and Development. 11(4): 19-28 (In Farsi)Sharifi, M.A. and Khaledi, K. (2009). Measuring and Analyzing the Development Level of Rural Areas in Kurdistan Using Factor Analysis and Numerical Taxonomy. Agricultural Economics and Development, 17(67): pp. 202-179 (In Farsi).Taghavi, M., Holiness, A. and Basakh, M.R. (2011). Determining the Development Position of Fars Cities in Agriculture Criteria, Journal of Spatial Planning, 8(2): pp. 25-40 (In Farsi). Xuegong X., (2006). Zoning of sustainable agriculture development in china. Agricultural system. 87(1): 38-62Zahedi, M., (2012). Development and Inequality, 7th Edition, Maziar Publishing, Tehran, Iran.