计算机工程与科学2012，Vol.34Issue(3)：152-157,6.DOI:10.3969/j.issn.1007-130X.2012.03.029
应用带标识的模糊Petri网的模糊推理
Fuzzy Reasoning by Using Marked Fuzzy Petri Nets
摘要
Abstract
Aiming at the problem that the use of fuzzy Petri nets to make fuzzy reasoning is usually unclear in fuzzy reasoning, a marked fuzzy Petri net(MFPN) is presented to carry out fuzzy reasoning. Several knowledge representation parameters: weight, certainty factor and threshold value, etc, are considered during fuzzy reasoning to obtain more information. A reasoning algorithm based on similarity measures is proposed. The deduced consequence can be calculated according to computing the token value in the final output place. Through the verification of production examples, the meaning of the deduced consequence is clearer and the calculation process is more efficient.关键词
模糊Petri网/模糊推理/标识/相似度/加权模糊产生式规则Key words
fuzzy Petri net/ fuzzy reasoning/ mark/ similarity measure/ weighted fuzzy production rules分类
信息技术与安全科学引用本文复制引用
孙晓玲,王宁,梁艳..应用带标识的模糊Petri网的模糊推理[J].计算机工程与科学,2012,34(3):152-157,6.基金项目
安徽省高等学校省级自然科学研究项目(KJ2009B148Z,KJ20122322) （KJ2009B148Z,KJ20122322）
安徽省高等学校优秀青年人才基金项目(2009SQRZ157,2009SQRZ156) （2009SQRZ157,2009SQRZ156）
