Titlebook: Handbook on Decision Support Systems 1; Basic Themes Frada Burstein,Clyde Holsapple Book 2008 Springer-Verlag Berlin Heidelberg 2008 Motiva

Endemic

Spreadsheet-Based Decision Support Systems and using this analysis to guide their decisions. An information system based on decision models is called a decision support system (DSS). A DSS uses the data residing in spreadsheets and/or databases, models it, processes or analyzes it using problem-specific methodologies, and assists the user i

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Multi-Criteria Decision Support model focus, an application focus, and decision aids (the latter a European term). Each of these views is described with examples. The focus of the paper is on model-focused decision support systems using multicriteria models, and decision aids, of which differences between multiattribute utility t

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Web-Based Decision Supportvestigating such systems. We define the elements of a WB-DSS, contrast them with desktop DSSs, and outline the unique opportunities and challenges involved in developing and deploying WBDSSs. We then review research investigating WB-DSSs by discussing WB-DSS research perspectives, relevant theories

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ical Applications in Smart Cities, AISCOVID-19 2022, held in November 2022 in Braga, Portugal.. The 8 full papers of AISCOVID-19 2022 were carefully selected from 21 submissions and present a comprehensive and up-to-date look at the intersection of COVID-19, big data, machine learning, deep learning

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Alex Bennet,David Bennetimportance since the last decade. The methods of ML are widely used to develop decision systems for disease detection and drug prescription. We know that AI is very powerful and provides enormously accurate results. Yet it is extremely opaque, and accuracy should not be the only measure of trust. We

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