By Schmidt, Linda C.; Chen, Wei; Lewis, Kemper E
Presents examples of potent software of decision-based layout; idea and perform in decision-based layout; insights on dealing with personal tastes, dealing with uncertainty, disbursed layout, call for modeling, validation, and different matters; and end-of-chapter workout difficulties to facilitate studying
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8. Raiffa, H. and Keeney, R. , 1976. Decisions with Multiple Attributes: Preferences and Value Tradeoffs, Wiley and Sons, New York, NY. 9. von Winterfeldt, D. , 1986. Decision Analysis and Behavioral Research, Cambridge University Press. 10. Gold, S. , 1997. “Tradeoffs In Robust Engineering Design,” ASME Des. Engrg. Tech. , DETC97/DAC-3757, Sacramento, CA. 11. Fischer, G. , 1995. “Range Sensitivity of Attribute Weights in Multiattribute Value Models,” Organizational Behavior and Human Decision Process, Vol.
24. Larichev, Q. , Moshkovich, H. , Mechitov, A. I. and Olson, D. , 1993. “Experiments Comparing Qualitative Approaches to Rank Ordering of Multiattribute Alternatives,” Multi-criteria Decision Analysis, 2(1), pp. 5–26. 25. , 1986. “A Comparison of the Analytic Hierarchy Process and a Simple Multiattribute Value Function,” European J. of Operational Search, Vol. 26, pp. 7–21. 26. Olson, D. L. and Moshkovich H. , 1995. , 26 (6) pp. 723–748. 27. Badinelli, R. and Baker, J. , 1990. , Vol. 21, pp. 318–336.
5 RISK ATTITUDE IN DECREASING MONOTONICITY It is interesting to note that Taguchi’s philosophy-based S/N metric is indeed representative of a risk-averse approach for the signal (mean) and a conditionally risk-prone attitude for noise (standard deviation) [13]. 3 PREFERENCE ASSESSMENT IN ENGINEERING DESIGN This is arguably the most significant and most complex step in a decision-based engineering design process. Currently prevailing preference assessment techniques for multi-attribute scenarios can be categorized as based on either deterministic value theory or expected utility theory.