IMPROVING THE COMPUTATIONAL PROCESS FOR IDENTIFYING OPTIMAL DESIGN USING FUZZIFIED DECISION MODELS

Abstract

Concept selection in design is an important aspect of design process that must be done properly with the right tools. The identification of optimal design is presented in this article by integrating three Multicriteria decision making models which are fuzzified pairwise comparison matrices, fuzzified weighted decision matrix and fuzzy VIKOR. Rather than depending solely on design expert’s view to determine weights of the design features, the pairwise comparison matrices determines the weights of design features and sub features in the decision process. The weighted decision matrix aggregates scores for the alternative designs considering the availability of sub features in them. The aggregated scores form the elements of the main decision matrix together with the weights of the design features and the Fuzzy VIKOR model determines the performance index of the design concepts. The hybridized model was validated using four conceptual designs of liquid spraying machines and the results obtained shows that the model provides computational integrity in decision making process.