The authors present a framework to guide development of evidential reasoning in object recognition systems. Principles of evidential reasoning processes for open-world object recognition are proposed and applied to build evidential reasoning capabilities. The principles summarize research and findings by the authors up through the mid-1990s, including seminal results in object-centered computer...

in the future, competitive advantages will be given to organisations that can extract valuable information from massive data and make better decisions. in most cases, this data comes from multiple sources. therefore, the challenge is to aggregate them into a common framework in order to make them meaningful and useful.this paper will first review the most important multi-criteria decision analy...

In order to make full use of detection information, improve the anti-interference ability of the system, solve the problem of target recognition in complex environment of multi-sensor correlation detection, this paper puts forward a information fusion method between data association and D-S evidential reasoning. It discussed the condition and the method of data association, on the basis of rela...

Evidential reasoning is now a leading topic in Artificial Intelligence. Evidence is repre­ sented by a variety of evidential functions. Evidential reasoning is carried out by cer­ tain kinds of fundamental operation on these functions. This paper discusses two of the basic operations on evidential functions, the discount operation and the well-known or­ thogonal sum operation. We show that the ...

We consider the problem of inference on the basis of observations. Suppose Alice has two coins, F (with probability 1/2 of landing heads) and B (with probability 3/4 of landing heads). She chooses a coin, tosses it, and it lands heads. How likely was the coin to be F? How likely was it to be B? Suppose she tosses the coin 100 times, and it lands heads every time. How likely was it to be F? How ...