Inference process in decision support systems with incomplete knowledge

Agnieszka Nowak-Brzezińska, Tomasz Jach


Authors propose new approach to vagueness problem in decision support systems. To achieve optimal solutions by clustering decision rules, cluster analysis methods are being used. This paper states the results of experiments regarding the influence of Agnes’ algorithm to the quality of clustering process.


uncertain knowledge; cluster analysis; clustering; decision support system

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