Integration of type-2 fuzzy logic and Dempster-Shafer Theory for accurate inference of IoT-based health-care system

摘要

The patient's heterogeneous data in IoT-based healthcare system are gathered using various sensor nodes, the existing healthcare and monitoring systems are mostly based on ontology or type-1 fuzzy logic which is insufficient due to inconsistency and uncertainty in the sensed data, in this paper a novel data fusion scheme is proposed which is based on type-2 fuzzy logic (T2FL) incorporated with Dempster-Shafer theory (DST) to extract precise information and correctly infer the result, in the proposed scheme the membership values of the patient data are effectively decided by type-2 fuzzy logic, and the evidence obtained from the membership values are properly fused and processed by the DST in the decision-making system, extensive computer simulation with heart disease and diabetes dataset reveals that the proposed scheme considerably outperforms the existing schemes based on ontology and type-1 fuzzy logic with respect to the decision accuracy.