In this paper, a design decision problem is treated as a multiple criteria decision making (MCDM) problem. designselection is based upon multiple attribute evaluations for candidate designs and preference judgments o...
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In this paper, a design decision problem is treated as a multiple criteria decision making (MCDM) problem. designselection is based upon multiple attribute evaluations for candidate designs and preference judgments on relative importance of attributes. It is intuitively clear that flexibility and a systematic procedure are important features of a technique for acquisition and representation of preference information. This paper is intended to explore a new technique for assigning weights to attributes through a well-defined iterative procedure using minimal preference information. A semi-submersible design problem is then taken as an example to demonstrate how multiple attribute evaluations for candidate designs can be generated and represented and how relative weights of attributes can be assigned using the new weight assignment technique for the ranking of the generated candidate designs.
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