Using certainty factors and possibility theory methods in a tillage selection expert system

Clarke, N.D.; McLeish, Mary; Vyn, Tony J.; Stone, James A.

doi:10.1016/0957-4174(92)90040-y

“…The strength of DSTE and PT lies in their capability of representing the epistemic uncertainty in a way less committed than that offered by probability theory. PT has been embraced to tackle a number of interesting issues pertaining to different fields such as graph theory [7], database querying [8], diagnostics [9], data analysis [10] and classification [11], agricultural sciences [12], probabilistic risk assessment (e.g., [13], [14]), etc. to cite a few.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty in Risk Assessment

Aven

¹

,

Zio

²

,

Baraldi³

et al. 2014

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This paper proposes a framework based on the Dempster-Shafer Theory of Evidence (DSTE), Possibility Theory (PT) and Fuzzy Random Variables (FRVs) to represent and propagate the epistemic uncertainty in the parameters of the component degradation-failure models used to evaluate the performance of maintenance policies. An example of application is given with reference to a check valve of a turbo-pump lubricating system in a Nuclear Power Plant, which is affected by fatigue and overtakes condition-based maintenance interventions.

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“…Finally, the inequalities 12 With reference to the simple case study of the exponential, non-repairable, binary component, let us suppose that the expert characterizes his/her knowledge about the value of the failure rate  with the information summarized in Table 1. …”

Section: Introductionmentioning

confidence: 99%

“…PT has been embraced to tackle a number of interesting issues pertaining to different fields such as graph theory [7], database querying [8], diagnostics [9], data analysis [10] and classification [11], agricultural sciences [12], probabilistic risk assessment (e.g., [13], [14]), etc. to cite a few.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty treatment in expert information systems for maintenance policy assessment

Baraldi

¹

,

Compare

²

,

Zio

³

2014

Applied Soft Computing

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This paper proposes a framework based on the Dempster-Shafer Theory of Evidence (DSTE), Possibility Theory (PT) and Fuzzy Random Variables (FRVs) to represent and propagate the epistemic uncertainty in the parameters of the component degradation-failure models used to evaluate the performance of maintenance policies. An example of application is given with reference to a check valve of a turbo-pump lubricating system in a Nuclear Power Plant, which is affected by fatigue and overtakes condition-based maintenance interventions.

show abstract