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analysis of the decision tree based system implementations(基于决策树的分析的系统实现)
Analysis of the decision tree based system implementations
Papers to write net: Abstract In the deterministic case, the decision is easy in the complex management and engineering decisions, some conditions and the state is difficult to know, or is temporarily unable to know the type of decision-making is uncertain decision-making. decision tree technology is the foundation of artificial intelligence, according to the characteristics of the object to extract its characteristic knowledge logic, a simple model for small to achieve a better discrimination.
Keywords: decision tree, used car problems, Artificial Intelligence
First, an overview Management decision-making is an activity often happens is that people in the political economic, technological and everyday life of an option for widespread behavior. Decision-making by the environment can be divided into deterministic, risk-and uncertainty-based decision-making three species. to determine the type of decision is the decision-making environment is completely determined and choice of the result is determined. risk of environmental decision-making is not completely determined, and its probability of occurrence is known. Uncertain Decision refers to the decision makers will know nothing about the probability of occurrence of the results, decision makers must rely on the subjective decision-making tendencies.
In the real world, a result of the proposed project are unknown for all future enterprise production process, but also the human, material and financial resources-consuming process, how to use these resources to ensure that management goals, many can be alternative action programs, there is always a minimum consumption of energy to the program to achieve maximum effect, whether to make the right business decision, good or bad is directly related to economic, decision tree method can help decision makers analyze the risk , choose the best option. In this paper, ‘buy a used car problem’ as the
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