D-S Evidence Theory Data Fusion with Weight Coefficients and Conflict Probability Redistribution

In Ye Qing's "Systems Engineering and Electronics Technology," D-S Evidence Theory data fusion is discussed as a method for combining multiple evidence sources to achieve more accurate conclusions. The core algorithm involves evidence synthesis through weight coefficient assignment and conflict probability redistribution, ensuring appropriate weighting of each evidence contribution. Key implementation aspects include: basic probability assignment functions, Dempster's combination rule for merging evidence, and conflict resolution mechanisms when evidence contradicts. This method finds extensive applications in decision support systems and artificial intelligence domains, particularly useful for handling uncertainty in multi-sensor data fusion scenarios where evidence reliability varies. Code implementation typically requires defining frame of discernment, calculating mass functions, and applying combination rules iteratively while managing conflict through normalization factors.