Decision Support System Model Driven

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Model-driven decision support system information system ...

    https://www.britannica.com/topic/model-driven-decision-support-system
    In information system: Decision support systems and business intelligence In a model-driven decision support system, a preprogrammed model is applied to a relatively limited data set, such as a sales database for the present quarter.

Model-driven decision support systems: Concepts and ...

    https://www.sciencedirect.com/science/article/pii/S0167923605000953
    In some decision situations, quantitative models embedded in a Decision Support System (DSS) can help managers make better decisions. Model-driven DSS use algebraic, decision analytic, financial, simulation, and optimization models to provide decision support.Cited by: 402

Types of Decision Support Systems (DSS)

    http://www.gdrc.org/decision/dss-types.html
    Model-driven DSS Model-driven DSSs are complex systems that help analyse decisions or choose between different options. These are used by managers and staff members of a business, or people who interact with the organization, for a number of purposes depending on how the model is set up - scheduling, decision analyses etc.

Model-Driven DSS

    http://www.dssresources.com/dsstypes/mddss.html
    Early versions of Model-Driven DSS were called Computationally Oriented DSS by Bonczek, Holsapple and Whinston (1981). Such systems have also been called model-oriented or model-based decision support systems. Key Terms. Decision Analysis tools - DA tools help decision makers decompose and structure problems. The aim of these tools is to help a ...

What Is Decision Support System? - UK Essays

    https://www.ukessays.com/essays/information-technology/what-is-decision-support-system-information-technology-essay.php
    In 1964 Scott Morton built up an interactive model driven management decision system which could help managers make important management decisions. In 1970 John D.C. Little noted that the requirement for designing models and system to make a management decision was completeness to data, simplicity, ease of control and robustness, which till ...



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