Compare the efficiency of Multi-criteria decision-making methods In order to determine the level of development of the County

Wave of quantitative models in the social sciences during the 1990s, coupled with issues of development and underdevelopment, Application of multi-criteria decision methods expanded in determining the development of the areas. The purpose of this study was to compare the effectiveness of multi-criteria decision (Electra, Vikor, TOPSIS, Copland, taxonomy and saw) Measure the degree development County province is in Khuzestan. The research methodology is based on practical purpose and descriptive nature is analytical. Statistical population is 24 County in Khuzestan province. That use 71 variables in six different rankings paid County of the province finally, using three different

the coefficient of variation, percentage changes and the changes in the model to Measure the degree development of County and their rankings chosen. The results showed that the County in different models, achieved Position and rankings differently. The results indicate low-intensity changes, percentage changes and index changes are in taxonomy and electric models and it seems that these two methods are compared with other methods of multi-criteria decision to measure the degree of development of County, have more credibility.