Now a days, in the age of information, companies need to measure all their financial and non financial aspects. To this end, various frameworks and models for measuring performance have been developed, one of which is balanced scorecard. The main issue in this study is to provide a method for designing a system of evaluating supply chain performance with balanced scorecard approach and also using fuzzy TOPSIS technique for linking the performance measures to strategy and main factors of supply chain success and evaluating supply chain performance based on organizational strategy. According to this method, after identifying and clarifying the mission and vision of the company, company objectives were defined in each of the four recommended perspectives of finance, customer, internal processes, and growth and learning and then success criteria, indicators and suitable measures for each objective were determined. It is noteworthy that to this end, fuzzy TOPSIS decision-making method was used for prioritizing objectives and indicators. Eventually, the presented method was experimentally implemented at a company which was part of Pars Renault Co. supply chain and the results were studied. The results show that fuzzy multi-attribute decision-making methods, such as fuzzy TOPSIS, can be successfully used by a structured methodology in designing balanced scorecard as a system of measurement and management of performance based on strategy in order to evaluate the supply chain performance. In regard to objective, the current research is applied and in respect to research methodology, it is of descriptive type. In this study library and field methods were employed for collecting data and seeking experts opinions.