Test Cost-Sensitive Attribute Reduction in Interval-Valued Decision Tables Based on Evidence Theory
Attribute reduction has always been the main research content of interval-valued information systems.Dempster-Shafer evidence theory applies belief function and plausibility function to solve uncertainty problems.In this paper,we study the test cost-sensitive attribute reduction method in interval-valued decision tables based on the relevant knowledge of evidence theory.The theoretical model is built,and heuristic attribute reduction algorithms are proposed based on belief function and plausibility function,respectively.The effectiveness of the proposed algorithms is verified through examples.
interval valuedecision tableattribute reductiontest costevidence theory
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