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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| Format: | Book Section |
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In-Teh
2010
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