Big data system has the features of dynamic, complexity and uncertainty. Privacy risk assessment can be used to discover the factors that threaten privacy, determine the degree of privacy leakage, and estimate the trend of privacy leakage development. In this paper, intuitionistic fuzzy set pair analysis (IFSPA) is proposed by combining intuitionistic fuzzy and set pair analysis theory. Relevant concepts, algorithms and ranking methods are defined. In order to improve the information aggregation effect, IFSPA weighted average operator (IFSPAWA), IFSPA weighted geometric operator (IFSPAWG), IFSPA ordered weighted average operator (IFSPAOWA), IFSPA ordered weighted geometric operator (IFSPAOWG), IFSPA hybrid average operator (IFSPAHA), IFSPA hybrid geometric operator (IFSPAHG) and their properties are designed. A multi-attribute privacy risk decision-making approach is proposed. Finally, the feasibility and effectiveness of this method are verified through the analysis of specific examples.
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