2009•Unpublished venueRequires access

The Information Mining in Traffic Accident Discrimination Based on Rough Set

Luo Xia, Peng Sun, Wangliang Zhou

Abstract

Rough Set theory is a mathematic theory of data analyzing that can process incomplete and indeterminate data. In view of the complexity and uncertainty in traffic accidents, the Rough Set theory can be introduced to improve the efficiency of traffic accident discrimination, decrease the reaction time, improve the efficiency of rescue. This paper introduced the Rough Set theory and knowledge acquisition briefly. Then set up the model of reduction and decision rule for traffic discrimination Parameters system and its application in the traffic accident diagnosis.

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Available abstract

Key concepts: Rough set, Traffic accident, Data mining, Computer science, Set (abstract data type), Set theory, Process (computing), Reduction (mathematics)