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|Title: ||An Evaluative Model to Assess the Organizational Efficiency in Training Corporations|
|Authors: ||Fernandes, Ana|
|Editors: ||Dang, Tran Khanh|
Artificial neural networks
|Issue Date: ||2016|
|Publisher: ||Springer International Publishing|
|Citation: ||Fernandes, Ana; Vicente, Henrique; Figueiredo, Margarida; Neves, Mariana; Neves, José.. An Evaluative Model to assess the Organizational Efficiency in Training Corporations. In Future Data and Security Engineering, Lecture Notes in Computer Science, Vol. 10018, ed. T. K. Dang, R. Wagner, J. Küng, N. Thoai, M. Takizawa & E. Neuhold, 415 - 428. Cham: Springer International Publishing. 2016|
|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.|
|Appears in Collections:||CIEP - Publicações - Capítulos de Livros|
QUI - Publicações - Capítulos de Livros
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