基于云模型的动态物流过程知识表示

Dynamic Logistics Procedure Knowledge Representation Based on Cloud Model

以提高物流过程管理实时优化调度的智能性和科学性为突破口,引入云模型和知识工程的知识表示理论,提出一种基于云模型的物流过程的知识表示法。通过云模型的期望值、熵和超熵三个数字特征有效地表达定性概念,并实现定性和定量的不确定转换,从而描述具有动态特点和一定非确定性的物流过程知识。

The paper introduces the knowledge representation theory of cloud model and knowledge project, puts forward a method of logistics procedure knowledge representation based on cloud model, represents the qualitative concepts effectively through the expected value, entropy and hyper entropy of cloud model and realizes the qualitative and quantitative uncertain transformation in order to describe the dynamic and uncertain logistics procedure knowledge.