Measuring customer service satisfactions using fuzzy artificial neural network with two-phase genetic algorithm
In this chapter, we propose a new method based on genetic algorithms (GAs) for fuzzy artificial neural network (FANN) learning to improve its accuracy in measuring customer service satisfaction for establishing a principle of ecnomical survival in business area. The analysis is based on linguistic v...
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| Main Authors: | , |
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| Other Authors: | |
| Format: | Book Section |
| Published: |
In-Teh
2010
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/31214/ http://dx.doi.org/10.5772/7820 |
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| Institution: | Universiti Teknologi Malaysia |