Towards the Definition of Relations between Clusters in Multicriteria Decision Aid Clustering
Baroudi Rouba, Safia Nait Bahloul · Procedia Computer Science · 2013
This paper tackles the problem of defining relations between clusters in multicriteria decision aid clustering. In multicriteria decision aid field, the comparison between objects is based on preference relations that express whether these objects are indifferent, incomparable or one is preferred to the other. In this paper, these preference relations will be used, at the same time, to build a clustering and to define relations between clusters. The definition of a relation between two clusters will be based on the determination of the dominant relation between the objects belonging to the clusters.