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Incorporating Trust, Certainty and Importance of Information into Knowledge Processing Systems – An Approach Read chapter Read first chapter

2016 | OriginalPaper | Chapter

An Evaluative Model to Assess the Organizational Efficiency in Training Corporations

Authors : Ana Fernandes, Henrique Vicente, Margarida Figueiredo, Mariana Neves, José Neves

Published in: Future Data and Security Engineering

Publisher: Springer International Publishing

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Abstract

In an organisation any optimization process of its issues faces increasing challenges and requires new approaches to the organizational phenomenon. Indeed, in this work it is addressed the problematic of efficiency dynamics through intangible variables that may support a different view of the corporations. It focuses on the challenges that information management and the incorporation of context brings to competitiveness. Thus, in this work it is presented the analysis and development of an intelligent decision support system in terms of a formal agenda built on a Logic Programming based methodology to problem solving, complemented with an attitude to computing grounded on Artificial Neural Networks. The proposed model is in itself fairly precise, with an overall accuracy, sensitivity and specificity with values higher than 90 %. The proposed solution is indeed unique, catering for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in a quantitative or qualitative arrangement.

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previous chapter Non-disjoint Multi-agent Scheduling Problem on Identical Parallel Processors
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Metadata
Title
An Evaluative Model to Assess the Organizational Efficiency in Training Corporations
Authors
Ana Fernandes
Henrique Vicente
Margarida Figueiredo
Mariana Neves
José Neves
Copyright Year
2016
Book
Future Data and Security Engineering

Print ISBN: 978-3-319-48056-5

Electronic ISBN: 978-3-319-48057-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-48057-2_29

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