Title: An improved decision-making rule of Dempster-Shafer theory application on fault diagnosis system
Authors: Zengshou Dong; Xujing Zhang; Jianchao Zeng
Addresses: Department of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China ' Department of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China ' The System Simulation and Computer Application Research Laboratory, Department of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China
Abstract: D-S evidence theory has a strong advantage in dealing with uncertain information. For the problem of the classic combination rule which is a failure in conflict evidence and the decision-making rule which is difficult to choose, a modified D-S combination rule and a new method of decision-making rule are proposed. At the same time, basic probability assignment (BPA) of the proposition is obtained by PSO-RBF ANN, which avoided the imperfection that the BPA is obtained by experience. In addition, we apply this algorithm to hydraulic fault diagnosis system and the simulating experiment shows that the method is beneficial to final decision-making under the premise that the risk of decision-making is not increasing, and it is more accurate to locate the fault.
Keywords: pignistic probability; improved D-S; evidential reasoning; particle swarm optimisation; PSO; artificial neural networks; ANNs; decision making rules; Dempster-Shafer theory; fault diagnosis; hydraulic systems; simulation.
International Journal of Computer Applications in Technology, 2013 Vol.46 No.3, pp.283 - 289
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 23 Mar 2013 *