A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis

Dempster-Shafer evidence (DSE) theory, which allows combining pieces of from different data sources to derive a degree belief function that is type fuzzy measure, general framework for reasoning with uncertainty. In this framework, how optimally manage the conflicts multiple in DSE remains an open issue support decision making. The existing conflict measurement approaches can achieve acceptable outcomes but do not fully consider optimization at decision-making level using novel conflicts. article, we propose evidential correlation coefficient (ECC) functions by measuring between two Then, investigate properties our proposed and coefficients, are all proven satisfy desirable measurement, including nonnegativity, symmetry, boundedness, extreme consistency, insensitivity refinement. We also present several examples comparisons demonstrate superiority ECC method. Finally, apply application motor rotor fault diagnosis, verifies practicability effectiveness measurement.