Study and Application of Grey Entropy Weight Decision Making in Risk Management | Zendy

Deyu Kong | Zendy; Lu Liu | Zendy; Rui Miaoi | Zendy; Lu Yin | Zendy

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Study and Application of Grey Entropy Weight Decision Making in Risk Management

Author(s) -

Deyu Kong,

Lu Liu,

Rui Miaoi,

Lu Yin

Publication year - 2008

Publication title -

data science journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.358

H-Index - 21

ISSN - 1683-1470

DOI - 10.2481/dsj.7.171

Subject(s) - computer science , scope (computer science) , usability , transparency (behavior) , implementation , metadata , data science , reuse , open data , world wide web , software engineering , engineering , computer security , human–computer interaction , programming language , waste management

In traditional risk evaluation, the weight of a risk index is given in advance, so it lacks objectivity. Using weights and properties generated by entropy concepts, including the idea of information entropy, the comprehensive weight, which can be combined with entropy weight, is calculated. A grey evaluation model of a project risk evaluation index based on comprehensive entropy weight is built. Further, we present empirical research on a real project, which indicates that this approach calculates easily, gives weight scientifically, and provides evaluation accurately

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