摘要
模糊Petri网(Fuzzy Petri Nets,FPN)是一种适合于描述异步并发事件的计算机系统模型,可以有效地对并行和并发系统进行形式化验证和决策分析。针对聚驱综合调整系统知识具有不确定性和模糊性的特点,给出了基于加权模糊产生式规则的加权FPN决策模型。在此模型的基础上,给出了决策推理过程的形式化推理算法。算法考虑了推理过程中的众多约束条件,将复杂的推理过程采用矩阵运算来实现,充分利用了FPN的并行处理能力,使决策推理过程更加简单和快速。并以压裂方式调整为例,说明了该模型具有直观、表达能力强和易于推理等优点,具有较强的实用价值。
Fuzzy Petri Nets(FPN) is a computer system model suitable for describing asynchronous and concurrent events. It can be effectively used to perform formalized verification and decision analysis for parallel and concurrent systems. This paper presents a Weighted Fuzzy Petri Nets Decision - Making Model based on weighted fuzzy pro- duction rule aiming at the fuzziness and uncertain polymer flooding comprehensive adjustment system' s knowledge. Based on the Weighted Fuzzy Petri Nets Model, an algorithm of formalized decision reasoning process is proposed, in which all of the constrains in the reasoning rules are considered. It demonstrates that the decision reasoning process is accomplished more simply and quickly as the algorithm is adopted and efficiency of the reasoning is also improved due to the parallel operation ability of Petri nets. Furthermore, taking frac adjustment as an example, it is described in this paper that the model has the advantages of objectivity, strong expression ability and easy to reason, it has better practical value.
出处
《计算机仿真》
CSCD
2007年第7期251-254,共4页
Computer Simulation
关键词
聚驱
模糊产生式规则
综合调整
模糊推理算法
Polymer flooding
Fuzzy production rule
Comprehensive adjustment
Fuzzy reasoning algorithm