用直觉模糊Petri网构建的供应链可靠性诊断模型  

Reliability diagnosis model of supply chain based on intuitionistic fuzzy Petri net

作　　者：任大勇[1] REN Dayong(Weinan Normal University, Weinan, Shaanxi 714099, China)

机构地区：[1]渭南师范学院,陕西渭南714099

出　　处：《计算机工程与应用》2017年第5期260-265,270,共7页Computer Engineering and Applications

基　　金：渭南师范学院特色学科建设资助项目(No.14TSXK03);渭南师范学院校级人文社科研究资助项目(No.14SKYB10);陕西省教育厅科学研究资助项目(No.2013JK0115);陕西省军民融合产业发展研究资助项目(No.15JMR03);渭南市2015年度基础研究计划资助项目(No.2015JCYJ-11)

摘　　要：针对不断变化的供应链系统内外部环境因素,围绕供应链系统可靠性诊断问题,将直觉模糊集引入模糊Petri网建模,用直觉模糊数表示库所状态、变迁阈值和变迁输出置信度,构建了基于直觉模糊Petri网的供应链可靠性诊断模型。对直觉模糊产生式规则按照变迁激发前后变迁和库所之间的与或关系,将供应链可靠性诊断模型模糊推理规则划分为四种类型,得到了变迁触发前和触发后的与或直觉模糊推理规则。同时提出了相应的模糊推理算法,并通过实例验证了模型和算法的有效性,能够及时发现供应链系统故障。In view of the continuous changes of internal and external environment factors of supply chain system, the reliability of the supply chain system is built, the intuitionistic fuzzy set is introduced into the fuzzy Petri net model, and the model of supply chain reliability based on intuitionistic fuzzy Petri net is constructed by using intuitionistic fuzzy numbers.On the base of the change and the relationship between the kinds of fuzzy inference rules, the fuzzy inference rules of the supply chain reliability diagnosis model are divided into four types, which are obtained by the changes of the fuzzy inference rules with prior or after trigger. At the same time, the fuzzy reasoning algorithm is put forward, and the validity of the model and the algorithm is verified by an example.

关 键 词：供应链可靠性 诊断模型 直觉模糊Petri网 模糊产生式规则 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]