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RADAR: automated task planning for proactive decision support
Hum. Comput. Interact., 2020Proactive Decision Support aims at improving the decision making experience of human decision-makers by enhancing the quality of the decisions and the ease of making them.
Sachin Grover +4 more
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OPTIMIZATION TECHNIQUES FOR DECISION SUPPORT SYSTEMS
Decision Support Systems (DSS) are applied in these different areas like business, healthcare and logistics, they are critical tools that help users to get the best decision makings possible when using them. Optimization methods are paramount constitute the basis of the DSS for provisioning relevant and useful decision-making while maximizing accuracy.Sivakumar R D, Assistant Professor, Department of Computer Science +1 more
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Data analytics-based decision support workflow for high-mix low-volume production systems
CIRP annals, 2019In order to answer the ever-fluctuating demand of high-mix low-volume production environments, reconfiguring the production systems and improving their performance rely heavily on the application of advanced decision support tools.
I. Gödri +3 more
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Explainable Artificial Intelligence for Safe Intraoperative Decision Support.
JAMA Surgery, 2019What Is the Innovation? Intraoperative adverse events are a common and important cause of surgical morbidity.1,2 Strategies to reduce adverse events and mitigate their consequences have traditionally focused on surgical education, structured ...
L. Gordon, T. Grantcharov, Frank Rudzicz
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Techniques for Intelligent Decision Support Systems
2015Techniques for systems that support intelligent decision making are the new way of applying what is called artificial intelligence, which can assist in solving complex problems in program management. They embody human-like techniques to solve problems ranging from planning, scheduling, and optimization to expert decision making that are difficult to ...
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Fuzzy Sets Syst., 2019
TOPSIS and VIKOR are two well-known and widely-used multiple attribute decision making methods. Many extensions of these methods have been proposed that either use different techniques to rank alternatives or utilize fuzzy logic to handle alternatives ...
N. Ploskas, J. Papathanasiou
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TOPSIS and VIKOR are two well-known and widely-used multiple attribute decision making methods. Many extensions of these methods have been proposed that either use different techniques to rank alternatives or utilize fuzzy logic to handle alternatives ...
N. Ploskas, J. Papathanasiou
semanticscholar +1 more source
International Journal of Production Research, 2019
In the era of digitalisation, e-commerce retail sites have become decisive channels for reaching millions of potential customers worldwide. Digital marketing strategies are formulated by the marketing teams in order to increase the traffic on their e ...
E. K. Leung +4 more
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In the era of digitalisation, e-commerce retail sites have become decisive channels for reaching millions of potential customers worldwide. Digital marketing strategies are formulated by the marketing teams in order to increase the traffic on their e ...
E. K. Leung +4 more
semanticscholar +1 more source
Analytics meets port logistics: A decision support system for container stacking operations
Decision Support Systems, 2019A Decision Support System (DSS) is proposed in this paper for improving container stacking operations. This DSS addresses the stacking problem for import containers via a two-step strategy.
S. Maldonado +3 more
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Decision Support System for Detection and Classification of Skin Cancer using CNN
Advances in Intelligent Systems and Computing, 2019Skin Cancer is one of the most deathful of all the cancers. It is bound to spread to different parts of the body on the off chance that it is not analyzed and treated at the beginning time. It is mostly because of the abnormal growth of skin cells, often
R. Garg, Saumil Maheshwari, A. Shukla
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Non Classical Techniques in Decision Support Systems
2013In this work we propose ranking of projects proposals applying both classical and non-classical cluster analysis techniques. The evaluation is based on six criteria and is employing four linguistic values. In addition we combine concept lattices and vector weights in an attempt to find possible clusters over the dataset used for cluster analysis.
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