Skip to main content
Article thumbnail
Location of Repository

Reducing Over-Conservative Expert Failure Rate Estimates in the Presence of Limited Data: A New Probabilistic/Fuzzy Approach

By Carlos Ferregut, F. Joshua Campos and Vladik Kreinovich


Abstract—Unique highly reliable components are typical for aerospace industry. For such components, due to their high reliability and uniqueness, we do not have enough empirical data to make statistically reliable estimates about their failure rate. To overcome this limitation, the empirical data is usually supplemented with expert estimates for the failure rate. The problem is that experts tend to be – especially in aerospace industry – over-cautious, over-conservative; their estimates for the failure rate are usually much higher than the actual observed failure rate. In this paper, we provide a new fuzzy-related statistically justified approach for reducing this over-estimation. I. FORMULATION OF THE PROBLEM Reliability: how it is usually described and evaluated. Failures are ubiquitous. As a result, reliability analysis is an important part of engineering design

Year: 2011
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.