Beta Distributed Preferences in the Comparison of Failure Modes | Zendy

Annibal Parracho Sant’Anna | Zendy; Eduardo Ferraz Martins | Zendy; Gílson Brito Alves Lima | Zendy; Renato Alves da Fonseca | Zendy

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Beta Distributed Preferences in the Comparison of Failure Modes

Author(s) -

Annibal Parracho Sant’Anna,

Eduardo Ferraz Martins,

Gílson Brito Alves Lima,

Renato Alves da Fonseca

Publication year - 2015

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2015.07.149

Subject(s) - computer science , probabilistic logic , reliability (semiconductor) , transformation (genetics) , sample (material) , set (abstract data type) , reliability engineering , beta (programming language) , beta distribution , failure mode and effects analysis , basis (linear algebra) , data mining , statistics , artificial intelligence , mathematics , power (physics) , biochemistry , physics , chemistry , geometry , chromatography , quantum mechanics , engineering , gene , programming language

The Composition of Probabilistic Preferences (CPP) is employed here to combine evaluations of a set of factors determined by adding human reliability criteria to the traditional FMEA criteria. The risks according to each of nine criteria are evaluated for ten failure modes by a set of seven evaluators. The probabilistic transformation of CPP employs a beta distribution, whose parameters are estimated on the basis of the means and modes of the samples of seven evaluation values. In the case studied, higher discrimination is provided by the use of the sample means

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