Abstract
The goal of this work is to extend a model of timed object-oriented Petri nets (TOPN) to allow modeling and analyzing dynamic systems with timing effect on system information. In the proposed Fuzzy timed object-oriented Petri net (FTOPN), we attach temporal fuzzy sets to each transition objects accounting for the aging of information. In particular, we investigate a new way to represent and deal with timing effect in dynamic systems. FTOPN also supports learning similar to that in fuzzy timed Petri net (FTPN). Finally, we use FTOPN to model a real decision making model of our cooperative multiple robot system (CMRS) to demonstrate its following benefits: independent training for its supporting object abstraction and size reconfiguration for its object granularity control function.
