Multilevel Flow Modeling Based Decision Support System and Its Task Organization

Xinxin Zhang, Morten Lind, Ole Ravn

    Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

    Abstract

    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.
    Original languageEnglish
    Title of host publicationLecture Notes in Computer Science : Recent Trends in Applied Artificial Intelligence
    Volume7906
    PublisherSpringer
    Publication date2013
    Pages431-440
    ISBN (Print)978-3-642-38576-6
    DOIs
    Publication statusPublished - 2013
    Event26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems - Amsterdam, Netherlands
    Duration: 17 Jun 201321 Jun 2013

    Conference

    Conference26th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems
    Country/TerritoryNetherlands
    CityAmsterdam
    Period17/06/201321/06/2013

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