Result-Fusion-Based Temporal-Spatial Composite Sequential Three-Way Decisions
Abstract: Temporal-spatial composite sequential three-way decisions can handle dynamic hybrid data from multiple levels effectively. However, the fusion method of dynamic hybrid data is based on composite binary relation, which is a feature level-based fusion method. In real applications, result-based fusion method is also very important for dynamic hybrid data. In this paper, result-fusion-based temporal-spatial composite sequential three-way decisions is proposed (TCSRF). Firstly, based on the optimistic, pessimistic, and mixed composite approximation, three kinds of result-fusion-based temporal-spatial composite sequential three-way decisions for dynamic hybrid data are proposed. Secondly, an algorithm of result-fusion-based temporal-spatial composite sequential three-way decisions is designed. Finally, experimental results demonstrate the effectiveness of our proposed model.
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