Hybrid hierarchical fuzzy group decision-making based on information axioms and BWM: Prototype design selection

The selection of the optimal conceptual design of any product is challenging due to the complexity of the customer's behavior and the competitiveness existing among production companies. The present study introduces a hierarchical group decision-making algorithm supported on Axiomatic Design principles and Best Worst Method under fuzzy environment. A case study on the selection of conceptual prototype design for a loudspeaker is analyzed using the proposed approach. By employing the proposed hybrid multi-criteria decision making approach, an optimal conceptual prototype design is selected among four candidate loudspeaker designs considering the problem criteria including inclusive design elements and aesthetic factors as well as environmental and sustainability issues.