4.7 Article

Generalized moment-independent importance measures based on Minkowski distance

期刊

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 239, 期 2, 页码 449-455

出版社

ELSEVIER
DOI: 10.1016/j.ejor.2014.05.021

关键词

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

资金

  1. National Nature Science Foundation of China [11001005]
  2. Fundamental Research Funds for the Central Universities [YWF-14-KKC-008]
  3. Innovation Foundation of BUAA [YWF-14-YJSY-035]
  4. City University of Hong Kong [9380058]

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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. (C) 2014 Elsevier B.V. All rights reserved.

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