Research on the Fuzziness in the Design of Big Data Visualization
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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.
KeywordsInformation visualization Fuzziness
We would like to express my gratitude to all those who helped me during the writing of this thesis. We gratefully acknowledge the help of the 30 subjects who participated in the experiment, who has offered us valuable data in the academic studies.
We also owe a special debt of gratitude to all the companions in lab who have always been giving us valuable suggestions and critiques which are of help and importance in making the thesis a reality.
Last but not the least, my gratitude also extends to my family who have been assisting, supporting and caring for me all of my life.
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