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Titlebook: Decision Support Systems VIII: Sustainable Data-Driven and Evidence-Based Decision Support; 4th International Co Fatima Dargam,Pavlos Delia

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A DSS Model for Selection of Computer on Module Based on PROMETHEE and DEX Methodss flooded with various COM systems thus making the selection of the most appropriate one for appropriate task is a very difficult task. This decision problem is addressed by employing PROMETHEE and DEXi methods. The proposed solution is a decision model based on 13 attributes. The evaluation is performed on a set of 53 currently available COMs.
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https://doi.org/10.1007/978-3-319-06242-6n or protocols to prevent disaster or repair the damage. The paper proposes a critical overview of methodologies able to engage stakeholders in decision-making process with a detail on case studies focused on the Flood Risk Management. Different aspects will be investigated and compared in order to outline considerations and possible conclusions.
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https://doi.org/10.1007/978-3-319-06242-6 decision-making model based on Big Data Analytics. This model is a part of a framework that will support decision processes by identifying the most dangerous places based on correlating data on location and the number of crimes from a large volume of crime data.
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1865-1348 ce, in May 2018. The main topic of this year’s conference was “Sustainable Data-Driven and Evidence Based Decision Support”. The 15 papers presented in this volume were carefully reviewed and selected from 71 submissions. They were organized in topical sections named: decision support systems for a
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Jens Lemanski,Konstantin Alogass flooded with various COM systems thus making the selection of the most appropriate one for appropriate task is a very difficult task. This decision problem is addressed by employing PROMETHEE and DEXi methods. The proposed solution is a decision model based on 13 attributes. The evaluation is performed on a set of 53 currently available COMs.
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https://doi.org/10.1007/978-3-319-90315-6decision support systems; data analytics; enterprise information systems; operations research; spatial-t
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978-3-319-90314-9Springer International Publishing AG, part of Springer Nature 2018
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