Title
Design Aspects of an Advanced Model-Oriented DSS for
Scheduling Problems in Civil Engineering
Authors
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Publication
Elsevier Science Publ., Amsterdam, Decision Support Systems, vol. 5, 1989, pp. 312-344
Source
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Classification
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not available
Keywords
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not available
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This paper gives some design features of the
architecture of DDS for scheduling problems under
development as part of a long-term project and
designated as prototype for a new kind of advanced
support systems with strong AI potential. Support is
intended for people in applications, scientific users
and students. Main features are a thorough
multi-attribute decision modelling, the incorporation
of robust methods for stochastic models and the full
incorporation of an enormous body of available
algorithmic tools in the field. Other aspects are a
number of features for a self-adaptive behaviour,
several knowledge-based components and the availability
of an Eigen-model of the system. In addition, the
architecture also allows a "genetic" adaption cycle.
The system will have components for explaining its own
functioning, it is designed to document considerable
parts of the used scientific knowledge in the area and
will make parts of this algorithmic or modelling
knowledge available via Computer Aided Instruction
devices.
