D-S Evidence Theory Implementation in MATLAB

This file presents a MATLAB implementation of D-S Evidence Theory code, designed to provide comprehensive derivation and validation capabilities for D-S evidence theory. D-S Evidence Theory represents a specialized uncertainty reasoning methodology that synthesizes evidence from diverse sources to determine decision reliability. The implementation includes core algorithms for basic probability assignment (BPA), belief function calculation, and Dempster's combination rule. Users can modify the evidence matrix and focal elements according to specific requirements, with the code featuring modular functions for mass function initialization, conflict coefficient calculation, and orthogonal sum operations. This implementation facilitates better understanding of D-S theory's practical application process and enables optimization for more accurate and reliable decision outcomes in real-world scenarios through customizable evidence combination parameters and validation metrics.