Association Rules-Based Rapid Design Life Cycle Assessment for Green Conceptual Designs

To solve the conventional Life cycle assessment (LCA) inherent limitations of manufacturing firms such as long-time development and huge amounts of data requirement which led it difficult to support product conceptual design, an association rules-based Rapid Life Cycle Assessment method (RLCA) for Green conceptual designs is proposed. The green features model is established to extract and screen the green information. The intuitionistic fuzzy numbers Association rules theory are used to research the Qualitative features, MapReduce Programming Model Based on Reduced Boolean Matrix are used to dispose the uncertainty analysis factor of quantitative features. The appropriate product design evaluation methods based on weighting algorithm is selected to the life cycle impact assessment (LCIA) and obtains the LCA results. Consequently, the LCIA of product design evaluation methods is rapidly completed to support the validity of the Data Mining Technology to Conceptual Design, and a case of steam turbine is used to verify the proposed RLCA theory.