Manyuncertain inference models presented currentlycan not dealwith relativity well.

In order to solve the problem of making decision during mine countermeasures, using Bayesian inference method, fuzzy logic and uncertainty reasoning method based on confidence, the article designs a probabilistic inference network as an expert system for mine warfare.

Probability logic is an important foundation for uncertainty reasoning.

Studies on the Methods and Application of Multi-Sources Information Fusion in Uncertain Reasoning;

The requirement of fixed-line urban bus real-time positioning is analyzed,and then a simplified dead-reckoning positioning method is suggested and discussed,which is based on an uncertain reasoning approach that uses both nonprecise results of distance-measuring and uncertain messages about station-arriving.

Based on the uncertain reasoning theory,the knowledge representation and organization of the diagnostic expert system for reinforced concrete components are given.

An approach to weighted uncertain reasoning based on artificial neural network;

This paper firstly discusses some problem about the uncertain reasoning machine in the agricultural expert system based on HPC, such as the knowledge representation, the certainty factor, the representation of evidence uncertainty, the calculation of multi evidence uncertainty, the update of uncertainty and so on.

In the three parts of common sense reasoning, uncertain reasoning is most important.