Pervasive systems must offer an open, extensible, and evolving portfolio of services which
integrate sensor data from a diverse range of sources. The core challenge is to provide …

Fuzzy Petri net (FPN) provides an extremely competent basis for the implementation of
computing reasoning processes and the modeling of systems with uncertainty. This paper …

The two most important issues of expert systems are the acquisition of domain experts'
professional knowledge and the representation and reasoning of the knowledge rules that …

Cluster tools for some wafer fabrication processes such as low-pressure chemical vapor
deposition have strict wafer delay constraints. A wafer that completes processing in a …

A fuzzy Petri net (FPN) is a powerful tool to model and analyze knowledge-based systems
containing vague information. This paper systematically reviews recent developments of the …

Although a promising tool for knowledge representation and reasoning, fuzzy Petri nets
(FPNs) still suffer from some deficiencies. First, the parameters in current FPN models, such …

In this paper, an approach for modeling and analysis of time critical, dynamic and complex
systems using stochastic Petri nets together with fuzzy sets is presented. The presented …

Risk assessment is important for plant safety, and fuzzy set theory is useful for such
assessment because many risk factors have fuzzy characteristics. In this study, veto factors …

Abstract Time fuzzy Petri nets (TFPNs) have been widely used to describe the transfer
correlations among industrial process variables. However, the assignments of parameters …

Background and objective In human-machine (HM) hybrid control systems, human operator
and machine cooperate to achieve the control objectives. To enhance the overall HM system …