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The theories and methods of performance evaluation for multi-sensor data fusion system based on Fuzzy Interval are discussed. A information fusion performance criteria system is founded with Intelligent Traffic applications as background, the evaluation process is similar to the decision process, The method of multiple criteria decision-making based on fuzzy preference relation are based on pair comparisons, in the sense that processes are linked to some degree of credibility of preference of any object over any other object. Proposing the idea of translating imprecision or ambiguity in measurement of an alternative for a given point of view with the use of a fuzzy set in R which is a set of ordered pairs {x,μ^a_j(x)} where μ^a_j(x)is termed “the grade of membership of x” for alternative a related to j. The concept of preference threshold and indifference threshold and aggregation function are given, and definition of concordance index and discordance index are presented too. This offered theoretical foundation for aggregation based on all evaluations from attributes.