Extract the Emergency Decision Rules Using Decision Trees Categorization Based on Ontology
Ying Li · Mechanical Management and Development · 2008
This paper proposes a decision tree category algorithm based on ontology by contrast with the traditional ones.It uses the algorithm and extracts the ontologies on different levels according to the gain of attribute measurement,thus we obtain high-level categorizing rules and optimize them.The experiment shows that applying the algorithm proposed above to the emergency decision system can expose more advanced rules and provide more meaningful decision suggestions for decision-makers.