An Intelligent Human-Computer Interaction System for Decision Support
Data(s) |
01/01/2006
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Resumo |
This paper proposes a novel architecture for<br />developing decision support systems. Unlike conventional decision support systems, the proposed architecture endeavors to reveal the decision-making process such that humans' subjectivity can be<br />incorporated into a computerized system and, at the same time, to<br />preserve the capability of the computerized system in processing information objectively. A number of techniques used in developing the decision support system are elaborated to make the decisionmarking<br />process transparent. These include procedures for high dimensional data visualization, pattern classification, prediction, and evolutionary computational search. An artificial data set is first<br />employed to compare the proposed approach with other methods. A simulated handwritten data set and a real data set on liver disease diagnosis are then employed to evaluate the efficacy of the proposed<br />approach. The results are analyzed and discussed. The potentials of the proposed architecture as a useful decision support system are demonstrated. |
Identificador | |
Idioma(s) |
eng |
Publicador |
World Scientific Publishing Co Pte Ltd |
Relação |
http://dro.deakin.edu.au/eserv/DU:30048120/lim-anintelligenthuman-2006.pdf http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.95.4713 |
Direitos |
2006, World Scientific Publishing Co Pte Ltd |
Palavras-Chave | #interactive evolutionary computation #multivariate data projection #pattern classification #topographic map |
Tipo |
Journal Article |