Evaluation of Customer-Oriented Service Quality on Self-adaptive RBFNN and UDM
Evaluation of customer-oriented service quality(ECSQ) is an important practical measure to increase enterprises competition capacity. In this article, a performance evaluation indexes system is established. UDM and fussymathematics are used to generate enough samples to train self-adaptive RBFNN. The instances of applying RBFNN to do ECSQ shows that its generalization capacity is more powerful than general RBFNN. Meanwhile, the randomicity of former Fussy-Comprehensive Evaluation and man-made uncertainty are conquered.
Service Quality Evaluation RBFNN (Radial Basis Function Neural network DUM(uniform design method )
KANG shiying KANG Yan
School of Computer Science and Information Technology Chongqing Technology and Business University Chongqing 400067,P.R. China
国际会议
上海
英文
2007-09-21(万方平台首次上网日期,不代表论文的发表时间)