Research on the fuzziness in the design of big data visualization

Abstract

In consecution to use and process information immediately, the relationship among a huge number of information is necessary to be read and understand. Information visualization as an effective method to optimize this process, using the charts to help people comprehend and process information intuitively and quickly. The accuracy of the information in the visualization chart is based on the readability and integrity of the information transition, once the chart does not meet this requirement, the accuracy of the information will be greatly reduced, and even may be misunderstood or cannot obtain the problem of information. This paper will analyze and deduce the causes of ambiguous in the information visualization from the aspects of ambiguity definition and fuzziness experimental research. To solve this problem, the investigation collects 30 samples based on five complex information visualization charts, we will use infographic as the research object to explore the impact of fuzziness on the user in the visualization process and explore the causes and mechanisms of this effect by quantitative experiments.