A novel genetic fuzzy/knowledge Petri net model and its applications

Abstract

Every individual intelligent technique has particular computational properties (e.g. ability to learn, explanation of decisions) that make it suited for particular problems and not for others. There is now a growing realization in the intelligent systems community that many complex problems require hybrid solutions. This paper presents a novel genetic (fuzzy) knowledge Petri net based approach for the integration of KBSs, fuzzy logic (FL) and GAs. Two genetic Petri net models are presented for integrating genetic models and knowledgebased models, including genetic knowledge Petri nets and genetic fuzzy knowledge Petri nets (GKPN, GFKPN). The GKPN and GFKPN models can be used for (fuzzy) knowledge representation and reasoning, especially for (fuzzy) knowledge base tuning and verification & validation. An application example for the proposed models in engineering design is given. © 2006 Springer.