The power transformer is one of the most critical and expensive components for the stable operation of the power system. Hence, how to obtain the health condition of transformer is of great importance for power utilities. Multi-attribute decision-making (MADM), due to its ability of solving multi-source information problems, has become a quite effective tool to evaluate the health condition of ...

This paper introduces a premier and innovative (real-time) multi-scale method for target classification in electrosensing. The intent is that of mimicking the behavior weakly electric fish, which able to retrieve much more information about by approaching it. based on family transform-invariant shape descriptors computed from generalized polarization tensors (GPTs) reconstructed at multiple sca...

The modeling of epistemic knowledge is a necessity of most systems dealing with some sort of artificial reasoning. There a re several formalisms able to mathematically model someone’s degrees of belief. A very popular one is the Bayesian Theory, which is based on a prior knowledge of a probability distribution. Another model is the Theory of Evidence, or DempskrShafer Theory, which provides a m...

The Dempster-Shafer theory gives a solid basis for reasoning appl icat ions characterized by uncertainty. A key feature of the theory is that proposi t ions are represented as subsets of a set which represents a hypothesis space. Th is power set along w i t h the set operations is a Boolean algebra. Can we generalize the theory to cover a rb i t ra ry Boolean algebras ? We show that the answer ...

This paper presents Dempster-Shafer theory for move prediction in start kicking of the bicycle kick of sepak takraw game. Sepak takraw is a highly complex net-barrier kicking sport that involves dazzling displays of quick reflexes, acrobatic twists, turns and swerves of the agile human body movement. A Bicycle kick or Scissor kick is a physical move made by throwing the body up into the air, ma...

A simple Monte-Carlo algorithm can be used to calculate Dempster-Shafer belief very efficiently unless the conflict between the evidences is very high. This paper introduces and explores Markov Chain Monte-Carlo algorithms for calculating Dempster-Shafer belief that can also work well when the conflict is high.

In this paper a new method for image retrieval using high level color semantic features is proposed. It is based on extraction of low level color characteristics and their conversion into high level semantic features using Johannes Itten theory of color, Dempster-Shafer theory of evidence and fuzzy production rules.