A grey fuzzy theory based customer satisfaction measurement system

Abstract

Some customer satisfaction measurement systems suffer from long response times. A customer satisfaction measurement system based on grey fuzzy theory is designed to improve the timeliness of this type of system. The hardware logic connects the output of TIM2 CH2 timer 2 of STM32 with the FSELECT pin input of AD9831 to switch the modulation frequency to send FSK signal; identify the customer type, extract the initial variables of customer satisfaction, use the top few principal components as the unrotated common factors, construct the satisfaction evaluation matrix based on grey fuzzy theory and optimise the system The function of the measurement management module was optimized. Experimental results: The average response time of the designed customer satisfaction evaluation system is 71.084ms, which indicates that the customer satisfaction evaluation system is more universal under the influence of grey fuzzy theory.