DocumentCode
3515135
Title
Evaluation of Customer-Oriented Service Quality on Self-Adaptive RBFNN and UDM
Author
Kang Shiying ; Kang Yan
Author_Institution
Sch. of Comput. Sci. & Inf. Technol., Chongqing Technol. & Bus. Univ., Chongqing
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
6568
Lastpage
6571
Abstract
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 fussy-mathematics 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.
Keywords
customer services; fuzzy set theory; radial basis function networks; customer-oriented service quality evaluation; enterprise competition capacity; fussy-mathematics; self-adaptive RBFNN; Computer science; Costs; Customer service; Delay estimation; Design methodology; Frequency estimation; Information technology; Neural networks; Radial basis function networks; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.1612
Filename
4341387
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