عنوان مقاله [English]
نویسندگان [English]چکیده [English]
Selecting the proper supplier in organization is strategic and determining factor. Usually the nature of these decisions are complicated and non-structural. In this study, self-organizing neural network to presented in order to decide on selecting the merchandize in decision support system. In this paper, first the effective criteria on choosing the supplier using expertise method and questionnaire identified. Using the self-organizing neural network technique, as clustering techniques, suppliers clustered. New supplier standards compared with spikes winner and will decide on accepting or rejecting provider. The output of this model is choosing the proper supplier and evaluating the new suppliers’ conditions. The fundamental criteria of the suppliers are costs, quality, and technical capacity, on time delivery. In order to the determine the amount and intensity of criteria on each supplier analytical hierarchy process is used and based on the amount and intensity of non-certainty the range of risk making for each supplier is consider. The results showed that the quality has the greatest weight and price, technical capacity, and delivery on time respectively have 0.241, 0.061, and 0.133 weights.