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A knowledge-based model management system for aircraft survivability analysis

Article Abstract:

A knowledge-based model management system (MMS) that facilitates the selection of appropriate models for combat survivability analyses of airborne weapon systems is introduced. The MMS, which conducts a search based on user defined weapon analysis requirements, employs a hierarchical structure such that the output of a lower-level model meets the input requirements of a higher-level model. The implementation of a prototype MMS, Model Expert for Survivability Analyses, is also discussed.

Author: Masud, Abu S.M., Metcalf, Paul, Hommertzheim, Don
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1995
Management, Usage, Artificial intelligence, Expert systems, Engineering models, Combat survivability (Military engineering), Combat survivability (Military enginering)

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MACRAME: a problem formulation and model structuring assistant in multiactorial contexts

Article Abstract:

The Multiple ACtor RepresentAtion ModEllng methodology for characterizing non-cooperative, multiactorial situations is introduced. The system enables an analyst intervening in a multiorganizational problem bound by a decision task to capture the problem's complexity and acquire, organize, present and reorganize knowledge for problem formulation. This is carried out at the individual and collective levels through individual and collective learning processes.

Author: Norese, Maria Franca
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1995
Organizational behavior

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Monitoring for hazard in flight management systems

Article Abstract:

A real-time system for monitoring aviation errors is introduced. Known as Hazard Monitoring and designed for use in commercial flight management systems, it implements knowledge acquisition methods, interaction analysis and situation analysis to anticipate and prevent hazardous situations. It also employs knowledge structures in the form of expectation networks to provide a level of error correction that is in proportion to the level of risk.

Author: Greenberg, A.D., Small, R.L., Zenyuh, J.P., Skidmore, M.D.
Publisher: Elsevier B.V.
Publication Name: European Journal of Operational Research
Subject: Business, international
ISSN: 0377-2217
Year: 1995
Knowledge-based systems

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Subjects list: Research, Models, Decision support systems, Decision theory
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