摘要

Aiming at the deficiencies of requirements'; importance analysis in Quality Function Deployment (QFD), a dynamic requirements'; analysis method in house of quality was put forward by integrating multi-attribute decision and trend prediction. By analyzing the requirements'; dynamic characteristics such as fuzzy, individualized and changing phase, an integrated model for the analysis and prediction of dynamic requirements based on grey system theory was constructed in which data acquisition, multi-attribute decision and trend prediction were regarded as the basic modules. Basic data gathering was completed by taking customer and market competitive factors as the data sources. Then, the importance of customer and technical requirements were analyzed by the grey corelation analysis and their recent trend knowledge were obtained with the GM(1, 1) model to achieve the acquisition, analysis and prediction of requirement information in QFD. Finally, feasibility and effectiveness of the proposed method were proved by the requirements analysis of large scale air separation system.

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