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Generalized moment-independent importance measures based on Minkowski distance

  • Qingqing Zhai
  • , Jun Yang*
  • , Min Xie
  • , Yu Zhao
  • *Corresponding author for this work
  • Beihang University
  • City University of Hong Kong

Research output: Contribution to journalArticlepeer-review

Abstract

Importance measures have been widely studied and applied in reliability and safety engineering. This paper presents a general formulation of moment-independent importance measures and several commonly discussed importance measures are unified based on Minkowski distance (MD). Moment-independent importance measures can be categorized into three classes of MD importance measures, i.e. probability density function based MD importance measure, cumulative distribution function based MD importance measure and quantile based MD importance measure. Some properties of the proposed MD importance measures are investigated. Several new importance measures are also derived as special cases of the generalized MD importance measures and illustrated with some case studies.

Original languageEnglish
Pages (from-to)449-455
Number of pages7
JournalEuropean Journal of Operational Research
Volume239
Issue number2
DOIs
StatePublished - 1 Dec 2014

Keywords

  • Cumulative distribution function
  • Minkowski distance
  • Moment-independent importance measures
  • Probability density function
  • Quantile

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