Abstract
The proposed DSS architecture includes (1) specifying decision problems with an extended entity-relationship model ‘GERM’, (2) distinguishing a user-defined model from a standard model, (3) bridging a problem specification and its user-defined model through ‘unification condition’, and (4) bridging a user-defined model and a standard model through ‘connection information’. A prototypal DSS with the proposed architecture helps a decision-maker having insufficient mathematical knowledge to communicate with OR/MS experts and to select and invoke an adequate solver for a decision problem.
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Mukohara, T., Sekiguchi, Y. (2002). The DSS Architecture Based on Non-Mathematical Problems Specification and Model/Solver Independence. In: Kozan, E., Ohuchi, A. (eds) Operations Research/Management Science at Work. International Series in Operations Research & Management Science, vol 43. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0819-9_18
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DOI: https://doi.org/10.1007/978-1-4615-0819-9_18
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