Based on introduction of the background and the limitations of present prediction methods
for gas outburst in coal mines, this paper focuses on introducing a new decision-making …

This paper introduces improved combination rules for the DS Evidence Theory for resolving
the problem of evidence conflicts and also provides the mathematical proofs for these rules …

A novel prediction method combing a neural network with the DS evidence theory for coal
and gas outbursts is put forward in this paper. We take advantage of the fact that the non …

Microorganisms plays a central role in the production of a wide range of industrial
chemicals, enzymes and antibiotics. The rate of product formation in a given industrial …

We describe a scalable distributed methodology for increasing the rate of real packets
received by the base station (BS) in a wireless sensor network (WSN) and to limit the …

In this paper, we present an application of the belief function theory for the classification of
physiological states in a bioprocess. It also takes account of the relevance of the data …

In this article we propose to use the conflict in the context of the belief functions theory in
order to assess the quality (called here the relevance) of an information source. We study …

This paper introduces improved combination rules for the DS Evidence Theory for dealing
with the evidence conflicts which considers the coherence evidence and the conflicts …

In this paper, we present a new approach for selection of relevant parameters in fault
detection process. The conflict notion is used in order to evaluate the relevance of any …