Handling design perceptions: an axiomatic design perspective
This study develops a method for determining optimal design embodiments under the following assumptions: (1) the design approach involves the axiomatic design theory and (2) the design-relevant information refers to a designers intuition, expressible as f-granular information. The optimal design embodiments are then obtained by determining such optimal set of crisp points having definiteness positions close to each other. Here, a crisp point means a value of one of the parameters needed to specify the design. The definiteness position of a crisp point depends on two factors: (1) how much a designer knows about this point, and (2) how desirable it is to design the actual product. The usefulness of the proposed method is demonstrated by an example that involves both weight and dimension measures. As axiomatic-design-theoretic practices move further into the age of design automation, various machine intelligence techniques capable of computing qualitative information (f-granular information) rather than numbers (numerical or semi-numerical information) will be needed. This study is intended to further such investigations.
axiomatic design f-granular information information axiom fuzzy measures