Enhanced fuzzy temporal rules and their projection onto fuzzy Petri nets

In this paper, an enhanced model of fuzzy temporal knowledge bases (FTKBs) formed by fuzzy temporal rules is introduced, and its projection onto the f ormalism of fuzzy Petri nets (FPNs) is presented. The main objective is to enhance the expressiveness of the rules making up the FTKB, regarding a pre vious proposal,(1) at the same time as keeping the computation cost within the limits that allow us to work on-line in dynamic environments. This is a ttained by means of a partial compaction of the rules, prior to their on-li ne execution. The projection of the FTKB over an FPN makes its design, anal ysis, and execution easier, by explicitly bringing out all its variables an d relationships. (C) 1999 John Wiley & Sons, Inc.