DSmT Evidence Combination Formula Calculation Function for Evidence Reasoning

DSmT evidence reasoning is a methodology for handling uncertainty, where the combination formula calculation function is used to fuse multiple evidence sources to obtain more accurate conclusions. When implementing this function, developers should consider the following key aspects:

- Determine the credibility weight for each evidence source, where higher credibility values indicate greater influence on the final conclusion. In code implementation, this typically involves assigning confidence factors to each evidence set before combination.

- Establish the support degree for each evidence, where higher support values indicate stronger backing for the final conclusion. Algorithmically, this often requires calculating belief assignments and plausibility measures for each proposition.

- Utilize the combination formula calculation function to merge all evidence sources and derive the final conclusion. The implementation typically involves iterative application of DSmT combination rules (such as the hybrid DSm rule) to handle conflicts and redundancies between evidence sets.

Therefore, when employing the DSmT evidence combination formula calculation function, thorough analysis and evaluation of each evidence source is essential to ensure the accuracy and reliability of the final conclusion. For comprehensive implementation guidelines and parameter configuration details, please refer to the help documentation within the file, which includes code examples and algorithm explanations.