Power transformer health index estimation using evidential reasoning

Estimating the Transformer Health Index Using Artificial Intelligence Techniques

Evidential Reasoning

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 ...

Subjective Evidential Reasoning

This paper describes a framework for combining and assessing subjective evidence from different sources. The approach is based on the DempsterShafer belief theory, but instead of using Dempster’s rule we introduce a new rule called the consensus operator that is based on statistical inference. We show how this framework can be applied to subjective evidential reasoning.

Qualitative model based multisensor data fusion and parameter estimation using norm Dempster Shafer evidential reasoning

This paper is concerned with model based parameter estimation for noisy processes when the process models are incomplete or imprecise The underlying representation of our models is qualitative in the sense of Interval Arithmetic and Qualitative Reasoning QR and Qualitative Physics from the Arti cial Intelligence literature We adopt a speci c qualitative representation namely that advocated by K...

Evidential Reasoning for Forensic Readiness

To learn from the past, we analyse 1,088 “computer as a target” judgments for evidential reasoning by extracting four case elements: decision, intent, fact, and evidence. Analysing the decision element is essential for studying the scale of sentence severity for cross-jurisdictional comparisons. Examining the intent element can facilitate future risk assessment. Analysing the fact element can e...