Sustainable Development and Socio- Economic Duality Using Fuzzy System-A Case Study of Iran

Jalil Khodaparast Shirazi, Mehrzad Ebrahimi, Mazda Moatari
DOI: 10.4236/me.2011.23048                

Abstract

Homogeneous development and decreasing of inequalities is a logical link between local and national program in macro level. Recognizing inequalities in the process of sustainable development play the major role for programmers. In this study, regarding the complicated qualification and qualitative of socio-economic indices, Iran provinces were ranked by fuzzy system during 2001-2006. In addition, duality in the concept of gap and differences among provinces were determined using the selected indices. Results showed that although country’s provinces became more homogeneous from the viewpoint of some of sustainable development indices, the distance among several provinces is still high and there is no clear relation among provinces during this study. This study shows that one development program cannot be effective for all areas of a country with socio-economic duality.

Keywords

Sustainable Development, Duality, Economic Index, Health Index, Social Index, Fuzzy System

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	T. Strange and A. Bayley, “Sustainable Development,” Organization for Economic Co-operation and Development (OECD) Press, Paris, 2008.
[2]	M. Bedrich and S. Billharz, “Sustainability Indicators,” John Wiley & Sons, Hoboken, 1997.
[3]	L.-X. Wang, “A Course in Fuzzy Systems and Control,” Prentice Hall, Upper Saddle River, 1996.
[4]	H. J. Zimmermann, “Fuzzy Set Theory,” Kluwer Academic Publishers, Norwell, 1996.
[5]	Central Bank of Iran, “The Index of the Good’s Price and Consumption Services in Urban Areas of Iran, 2001- 2006,” 2011. http://tsd.cbi.ir/
[6]	Statistical Centre of Iran, 2011. http://amar.sci.org.ir/
[7]	The Management and Planning Organization of Iran (MPO), 2011. http://www.spac.ir/
[8]	F. Noorbakhsh, “Human Development and Regional Disparities in Iran: A Policy Model,” Journal of International Development, Vol. 14, No. 7, October 2002, pp. 927-949. doi:10.1002/jid.914
[9]	M. Ebrahimi, M. Noonejad and M. Ebrahimi, “ A Study of Iranian’s Free Zones Throughput; Success or Failure in Achieving Proposed Goal?” Journal of Applied Sciences, Vol. 8, No. 8, 2008, pp. 1576-1580. doi:10.3923/jas.2008.1576.1580
[10]	M. Andreassen and F. Gertsen, “A Case Study of an Organisation Development of Duality,” International Journal of Technology Management, Vol. 42, No. 1-2, 2008, pp. 51-68. doi:10.1504/IJTM.2008.018060
[11]	M. Ebrahimi and E. Ebrahimie, “Sequence-Based Prediction of Enzyme Thermostability through Bioinformatics Algorithms,” Current Bioinformatics, Vol. 5, No. 3, 2010, pp. 195-203. doi:10.2174/157489310792006693
[12]	E. Bijanzadeh, Y. Emam and E. Ebrahimie, “Determining the Most Important Features Contributing to Wheat Grain Yield Using Supervised Feature Selection Model,” Australian Journal of Crop Science, Vol. 4, No. 6, 2010, pp. 402-407.