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In this paper we outline a multi-layered distributed agent ontology for providing system modelling support to practitioners and problem solvers at four levels, namely, clerical, tool (technology), optimization and task level respectively. We outline how the ontology facilitates the development of...
In this study we consider the classification (supervised learning) problem in (0 1) ^n that utilizes fuzzy sets as pattern classes. Each class is described by one or more fuzzy hyperbox defined by their corresponding minimum- and maximum vertices and the hyperbox membership function. Two types of...