Improvement of risk assessment in the FMEA using nonlinear model, revised fuzzy TOPSIS, and support vector machine-Reference-Cited by-同舟云学术

Improvement of risk assessment in the FMEA using nonlinear model, revised fuzzy TOPSIS, and support vector machine

Published:2019-01 Issue: Volume:69 Page:209-216
ISSN:0169-8141
Container-title:International Journal of Industrial Ergonomics
language:en
Short-container-title:International Journal of Industrial Ergonomics

Author:

Mangeli Mehri,Shahraki Alireza,Saljooghi Faranak Hosseinzadeh

Funder

University of Sistan

Baluchestan research administration

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Human Factors and Ergonomics

Reference51 articles.

1. Elective surgery--cancellations, ring fencing and efficiency;Aaserud;Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke,2001

2. Risk management in the construction industry using combined fuzzy FMEA and fuzzy AHP;Abdelgawad;J. Construct. Eng. Manag.,2010

3. Fuzzy probabilistic expert system for occupational hazard assessment in construction;Amiri;Saf. Sci.,2017

4. Assessment of occupational risks in an aluminium processing industry;Aneziris;Int. J. Ind. Ergon.,2010

5. Selecting of the optimal feature subset and kernel parameters in digital modulation classification by using hybrid genetic algorithm–support vector machines: HGASVM;Avci;Expert Syst. Appl.,2009

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