A Bayesian approach for multiple criteria decision making with applications in Design for Six Sigma
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DOI: 10.1057/palgrave.jors.2602184
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References listed on IDEAS
- Guillermo Miro-Quesada & Enrique Del Castillo & John Peterson, 2004. "A Bayesian Approach for Multiple Response Surface Optimization in the Presence of Noise Variables," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(3), pages 251-270.
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Cited by:
- R J Ormerod, 2010. "Rational inference: deductive, inductive and probabilistic thinking," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(8), pages 1207-1223, August.
- Yu-Sheng Kao & Kazumitsu Nawata & Chi-Yo Huang, 2019. "Evaluating the Performance of Systemic Innovation Problems of the IoT in Manufacturing Industries by Novel MCDM Methods," Sustainability, MDPI, vol. 11(18), pages 1-33, September.
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Keywords
optimization; utility function modelling; response surface models; probability models; mcdm; six sigma;All these keywords.
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