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Finally, pipeline integrity management system design is presented using activity models, process models, and knowledge structures.
Decision models and knowledge rules are widely used to assist in decision-making.
Developments in electronic decision support must be guided by evidence-based clinical and information models and knowledge ontologies.
The purpose of this Special Issue of Agricultural Systems is to lay the foundation for the next generation of agricultural systems data, models and knowledge products.
Based on reference models and knowledge modelling, this method requires the definition of a collaborative information system to assist design actors.
Research and development (R&D) project selection is a complicated and knowledge intensive decision-making process where decision models and knowledge rules play an important role.
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The folding specificity of proteins can be simulated using simplified structural models and knowledge-based pair-potentials.
The approaches considered are: systems dynamics, Bayesian networks, coupled component models, agent-based models and knowledge-based models (also referred to as expert systems).
Till date, many studies have been reported in the literature on solving machine tool selection problems using diverse multi-criteria decision-making (MCDM) methods, mathematical models and knowledge-based systems.
The semantic layer, or knowledge representation layer, deals with conceptual modeling and knowledge engineering tasks.
Metadata, data modeling and knowledge representation, information systems design, digital humanities, the role of technology in libraries, and dissemination of scientific and technical information.
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