User's satisfaction has a great impact to the success of information systems. This study proposes a conceptual model to assess the perceived information satisfactions properly using fuzzy set theory. The proposed method is straightforward to implement for measuring information satisfactions. In the proposed approach, the system user first records his or her perception of information satisfactions in linguistic terms. The reviewer then quantifies the perception with fuzzy numbers. By mutually comparing all the criteria, importance weights of criteria in assessing the information satisfaction can be prioritized. The fuzzy perceived satisfaction score is then calculated by combining the fuzzy numbers of criteria with the corresponding weights. The fuzzy scores are then transformed to linguistic terms to reflect the user's information satisfaction as interpreted by the reviewer. An empirical exploratory-based study is provided to show the practicability and generality of the proposed method. The proposed fuzzy linguistic assessment of information satisfaction can be used to measure user's ambiguous satisfaction concepts are associated with human beings' subjective assessment. Similarly, the proposed method can also be extended to other studies or contests in which the evaluation or appraisal is subjective or verbal in nature.