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https://ieeexplore.ieee.org/document/205336/
Abstract: A distributed decision support system (DDSS) is defined as a decision support system which supports distributed organizational decision making. The author develops and illustrates the DDSS concept and explores its usefulness in furthering research and practice in the DSS field.
https://www.igi-global.com/dictionary/automated-system-of-controlling-unmanned-aerial-vehicles-group-flight/73660
What is Distributed Decision Support System (DDSS)? Definition of Distributed Decision Support System (DDSS): A decision support system which supports distributed organizational decision making.
https://www.sciencedirect.com/science/article/pii/S1319157813000116
This paper proposes an open and distributed clinical decision support system architecture. This technical architecture takes advantage of Electronic Health Record (EHR), data mining techniques, clinical databases, domain expert knowledge bases, available technologies and standards to provide decision-making support for healthcare professionals.Cited by: 31
https://www.academia.edu/6308061/Distributed_Decision_Support_Systems
Distributed decision support system 1. A distributed decision support system is a software tool that assists operators in their decision making within the frame of distributed organization . 2. It automatically monitors dynamic system , warns about present or future desired situation and suggests appropriate control actions to operators.
http://www.dabi.temple.edu/~zoran/papers/mathewacmtmis.pdf
Additional Key Words and Phrases: Distributed decision support, privacy preserving frameworks, clinical decision support system, privacy ACM Reference Format: Mathew, G. and Obradovic, Z. 2013. Distributed privacy-preserving decision support system for highly im-balanced clinical data. ACM Trans. Manage. Inf.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.4.6980&rep=rep1&type=pdf
building decision support systems, the use of distributed technologies often remains limited to extension services added to traditional, local DSS functionalities. In other words, distributed computing rarely change the intrinsic (and local) behavior of the DSS. In this paper, we propose new distributed decision support strategies impacting the
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