UTILITY FUNCTION OF GREEN PRODUCT

Liu Hua  Chen Weiping  Zhao Haidong  Zhu Quanli  Li Yuanyuan

(College of Mechanical Engineering, South China University of Technology, Guangzhou 510640)

Abstract: An evaluation method of green product is set up, which is based on function approximation. It is to select product samples, then to use methods of function approximation and set up model. According to condition on the function approximation of artificial neural network, an evaluation model of green product based on artificial neural network is set up. An instance of refrigerator is given. After establishing the structure of it’s evaluating index and collecting related evaluating samples, BP and RBF neural networks are respectively trained and simulated. Those models, which don’t need weighting, can fulfill approximation to ordinal-number utility function and cardinal- number utility function, and realize evaluation of the non-linear utility function of green product.

Key words: Green product  Utility function   Function approximation  Artificial neural network

CLC No: TB497

国家自然科学基金(50135020)、国家863计划(2001AA337010)和教育部科学技术研究(0203)资助项目. Received 20040929, received in revised form 20041216