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The conversion between qualitative descriptive language and corresponding quantitative values was achieved in corn juices sensory evaluation process based on cloud model. Backward cloud model was used to transform and analyze the scores of sensory evaluation of corn juices. The qualitative concept of corn juices was obtained. Forward cloud normal model transformed the qualitative concept of corn juices to quantitative values, and restored to different test points retaining the data characteristics. The cloud model was extended to multidimensional space based on the assessment for corn juices. Integrated qualitative characterization described general character of corn juices in 4-D space.