To handle the randomness of individual judgments, a novel method, called uncertain rank correlation analysis (RCA), is proposed. Conventional RCA cannot effectively deal with the uncertainty in the comprehensive evaluation. However, normal distribution interval number is often used to express the uncertainty. Adopting normal cloud theory, this paper extends conventional RCA into the field of uncertainty, via the transformation and operation of the normal distribution interval-valued number. An example with uncertainties is given to verify the effectiveness of the proposed method.
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