For complex engineering systems, there is an increasing demand for safety and reliability. Decision support system (DSS) is designed to offer su-pervision and analysis about operational situations. A proper model representa-tion is required for DSS to understand the process knowledge. Multilevel Flow Modeling (MFM) represents complex system in multiple levels of means-end and part-whole decompositions, which is considered suitable for plant supervi-sion tasks. The aim of this paper is to explore the different possible functionali-ties by applying MFM to DSS, where both currently available techniques of MFM reasoning and less mature yet relevant MFM concepts are considered. It also offers an architecture design of task organization for MFM software tools by using the concept of agent and technology of multiagent software system.
|Title of host publication||Lecture Notes in Computer Science : Recent Trends in Applied Artificial Intelligence|
|Publication status||Published - 2013|
|Event||26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - Amsterdam, Netherlands|
Duration: 17 Jun 2013 → 21 Jun 2013
|Conference||26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems|
|Period||17/06/2013 → 21/06/2013|