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The proposed DSS framework, named "Acropolis DSS", can be used to assist involved stakeholders in critical decisions, especially when addressing issues such as stakeholder participation, transparency, and trade-offs.
To facilitate the DSS controller design, this paper develops a sophisticated DSS framework with its variations to further enhance the analysis and design of DSS.
To facilitate the NN compensation design, a modified DSS framework is developed so that the DSS control can be considered as a regulation problem with disturbance rejection.
To overcome this limitation, we propose an integrated DSS framework by combining both business and engineering systems with a dashboard.
A two-step DSS framework, composed of preliminary design and detailed design phases, is set to effectively couple and run the SSMs and calculation modules.
The main objective of this study is then to develop a general decision support system (DSS) framework to analyze the results of basic DEA models.
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The sex and longitudinal invariance of the best fitting DSS model was tested in a multi-group CFA framework [ 35], which consisted of testing different levels of invariance by comparing nested models [ 31].
In this paper, after defining a list of requirements for service-oriented DSS, we propose a conceptual framework for DSS in cloud, and discus about research directions.
In this paper, the dynamic stochastic selection (DSS) is put forward within the framework of multimember differential evolution.
Finally, a framework for an integrated DSS to prevent domino effects based on all existing advancements and potential possibilities for improvement is introduced.
The framework of the proposed DSS is depicted in Figure 1.
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