This paper extends the problem of general non-parametric linear rank tests in the case where the available samples of observations are imprecise and the level of significance is also a fuzzy number.To do this, the usual concepts of test statistic, and critical value are extended to the fuzzy test statistic and fuzzy critical value, by using the α-cuts approach.This paper also provides an example to clarify the approach in this paper.