This study aims for evaluating the performance of AMA's strategies, using balanced scorecard (BSC), analytic network, and fuzzy logic. For this purpose, at the first stage, perspectives, strategies, and indexes relevant to each perspective of the balance scorecard of AMA company are deteined. At the second stage, the weights of BSC perspectives and strategies indexes are determined, using network analysis as fuzzy mode. At the third stage, each index is scored based on the experts' comments. Finally, strategies performance of AMA Company was analyzed based on the computed weights and scores from one-sample t-test. According to the performed analyses, weights of the first, second, third, and fourth strategies were obtained equal to 0.78, 0.1, 0.06, and 0.06, respectively. In addition, the financial, customer, internal process, and learning weights of the balanced scorecard perspectives were obtained equal to 0.44, 0.32, 0.13, and 0.11, respectively. Moreover, using inferential statistics, it was determined that the strategies performance status of AMA' company is relatively favorable (i.e. the mean of statistical population is over the average).