Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/26346

Title: Fully Informed Classification Systems - Simpler, Maybe Better
Authors: Fernandes, Ana
Carvalho, Filomena
Ribeiro, Jorge
Vicente, Dinis
Faria, João
Figueiredo, Margarida
Capita, António
Neves, José
Vicente, Henrique
Keywords: Public Services
Eindhoven Classification Method
Knowledge Representation and Reasoning
Logic Programming
Entropy
Issue Date: 2019
Publisher: Springer
Citation: Fernandes, A., Carvalho, F., Ribeiro, J., Vicente, D., Faria, J., Figueiredo, M., Capita, A., Neves J. & Vicente., H., Fully Informed Classification Systems - Simpler, Maybe Better. Communications in Computer and Information Science, 1038, 3–16, 2019.
Abstract: This paper presents the starting point to adverse event reporting and learning systems designed to describe and prevent unfavorable happenings in Public Services organizations. To achieve this goal, the Eindhoven’s Classification Method was changed to house such incidents. On the other hand, the evolutionary process of the knowledge body of such systems is to be understood as a process of energy devaluation, i.e., their data/information/knowledge will be represented and handled as pure energy transactions, being such procedures and the respective outcomes object of formal proof under a Proof Theoretical approach to Problem Solving.
URI: http://hdl.handle.net/10174/26346
ISSN: 1865-0929 (paper)
1865-0937 (electronic)
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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