Open AccessSustainable Development and Socio- Economic Duality Using Fuzzy System-A Case Study of Iran
Author(s) -
Jalil Khodaparast Shirazi,
Mohammad Reza Ebrahimi,
Mazda Moatari
Publication year - 2011
Publication title -
modern economy
Language(s) - English
Resource type - Journals
eISSN - 2152-7245
pISSN - 2152-7261
DOI - 10.4236/me.2011.23048
Subject(s) - duality (order theory) , homogeneous , sustainable development , fuzzy logic , inequality , macro , regional science , geography , economic growth , economic system , economics , mathematics , political science , computer science , pure mathematics , artificial intelligence , mathematical analysis , combinatorics , law , programming language
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