The chosen aspects in inference processes in decision support systems with incomplete knowledge

Agnieszka Nowak-Brzezińska, Tomasz Jach

Abstract


The authors propose to use the methods of cluster analysis (clustering) in complex decision support systems with incomplete knowledge. The paper compares using of mAHC and AHC algorithms. The problem of finding the optimal number of clusters is addressed, the experiments confirming the ability of proposed approach to inference within decision support systems with incomplete knowledge are provided.

Keywords


knowledge base; clustering; cluster analysis; AHC; inference; incomplete knowledge; decision support system

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References


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DOI: http://dx.doi.org/10.21936/si2012_v33.n2A.160