Fuzzy Concept Lattice Based Event Composition Model

Abstract

Abstract. Because of the existence of uncertainty in physical word, the classical theory-based event model cannot express the change of state accurately. This paper builds a fuzzy concept lattice-based temporal-spatial event composition model to describe events correctly and combine events efficiently. We define fuzzy event concept and formal representation of event instance, and prove the theorems of event type and attribute composition on basis of fuzzy concept lattice. Moreover, we analyze event composition rules from three aspects which are temporal, spatial and internal attributes. Finally, by applying the fuzzy event composition model to smart space and comparing it with Tan's model, the proposed event model in this paper is characterized with variable membership threshold, attributed temporal-spatial relationship, and supporting component coordination.