This approach to modelling of uncertainties in reliability-centred maintenance (RCM) is a continuation of the probabilistic and the fuzzy RCM. The evidence measures, belief and plausibility, are applied to express the uncertainties of experts in reasoning and to give weighted recommendations during the RCM process. Brief introductions to RCM and to the Dempster—Shafer theory are given. Finally, the Dempster—Shafer approach to RCM (DS-RCM) is applied to a fire detection and extinguishing system.
WalleyP.Statistical reasoning with imprecise probabilities, 1991 (Chapman & Hall, London)
2.
DenoeuxT.Reasoning with imprecise belief structures. Int. J. Approximate Reasoning, 1999, 20(1), 79–111
3.
RakowskyU. K.EisingerS.Decision-making in reliability centred maintenance based on probabilistic and fuzzy approaches. In Proceedings of the European Conference on Safety and reliability — ESREL 1998, June 1998, Trondheim, Norway, vol. 1, pp. 199–205 (Balkema, Rotterdam)
4.
EisingerS.RakowskyU. K.Modeling of uncertainties in reliability centered maintenance — a probabilistic approach. Reliability Engng and System Safety, 2001, 71(2), 159–164
RakowskyU. K.Some notes on probabilities and non-probabilistic reliability measures. In Proceedings of the ESREL 2005, Tri-City/Poland, pp. 1645–1654 (Balkema, Leiden)
18.
RakowskyU. K.Fundamentals of the Dempster—Shafer theory and its applications to system safety and reliability modelling. In Proceedings of the 1st Summer Safety and Reliability Seminars, SSARS 2007, Sopot, Poland, Gdynia Maritime University, Gdynia, 2007, vol. 2, pp. 283–295
19.
DanielM.Generalization of the classic combination rules to DSm hyper-power sets. Inform. and Security, 2006, 20, 50–64
20.
SunH.FarooqM.Combination rules of evidence for situation assessment and target identification. Signal Processing, Sensor Fusion, and Target Recognition XV. Proceedings of the SPIE, 2006, Vol. 6235, 623514
