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Clustering of in-Vehicle User Decision-Making Characteristics Based on Density Peak

  • Qing Xue
  • Qian Zhang
  • Xuan Han
  • Jia Hao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10276)

Abstract

In this paper, we designed the simulated combat experiment to obtain the decision of the participants. Combining with the characteristics of the decision - making in the combat procedure and combat task, the fuzzy recognition model was established to obtain the model user characteristic matrix. The decision-making characteristics clustering analysis of density peak is the foundation for the design of adaptive in-vehicle user interface based on user decision-making characteristics.

Keywords

Decision-making characteristics In-vehicle user Cluster analysis 

Notes

Acknowledgements

The authors would like to thank the anonymous reviewers for their valuable comments and thank the strong support provided by National Natural Science Foundation of China (NSFC 51505032) and Beijing Natural Science Foundation (BJNSF 3172028).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.School of Mechanical EngineeringBeijing Institute of TechnologyBeijingPeople’s Republic of China

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