Comparative Study of Accuracy rate of Fuzzy AHP and Classical AHP Methods for Ranking Indicators Affecting on the Quality of Life

Quality of life is of the important issues considered by most experts of planning and development of human settlements. This topic, in less developed countries is faced with great challenges and Several factors influence on it in various dimensions. The most important indicators effective on quality of life in these countries, especially in rural parts of deprived areas, mostly is about the basic needs of life, which are assessed by different methods including AHP and FAHP. In this study, after collecting the data through questionnaires, the two said methods have been used as comparative. Because of differences in the obtained results, the accuracy rate was reviewed again by Mean Squared Error(MSE) and the following results were obtained:Firstly, in both methods the "income and employment," has the highest and "participation" has the least importance and and impact on people’s quality of life.Secondly, there is a great difference between the classical hierarchical analysis method (AHP) and Fuzzy Analytical Hierarchy (FAHP) in evaluation and determine the degree of importance.Thirdly, in consistent with available facts, fuzzy methods compared with classical methods has more accuracy and this difference was approved by the mean squared error (MSE).