ABSTRACT
The importance of criteria ranking is discussed in decision models which often embrace criteria ranking. The use of Multi Criteria Decision Models (MCDM) typically involve criteria. Studies confirm that different weighting or ranking of design criteria may lead to different end-products as the end-products are highly dependent on design decisions. This paper presents a probabilistic method to facilitate the criteria ranking under the presence of uncertainty.
