Intelligent Data Fusion Technology for Enterprise Identification Market Customer Demand in Complex Environment

Abstract

<p style="text-align: justify;"><span style="font-family: "times new roman";">With the advent of the information age, the competition of the global economy has reached unprecedented intensity. In the competition, enterprises use various methods to seek survival and development. In fact, customers are the recipients of enterprise products, the source of enterprise profits, and the foundation of enterprise survival and development. However, due to the fierce competition and the confusion of market customer information, enterprises cannot identify the real needs of market customers. Based on the above background, the purpose of this paper is to study the intelligent data fusion technology of enterprise identifying market customer demand in complex environment. Firstly, according to the existing problems of enterprise identifying market customer demand in complex environment, this paper proposes an intelligent attribute fusion model. The model is implemented by three modules: environment analysis, uncertain information processing and classification and identification information fusion. The environment analysis module directly affects uncertain information processing module and classification information fusion module. In different information levels and processing processes, it solves the problems of environment self, adaptability, robustness and flexibility required by data fusion system in dynamic and changeable environment question. Through the experimental comparison and analysis, the BP neural network algorithm used in this paper achieves 92.73% accuracy rate in identifying market customer demand, and then proves that multi-sensor data fusion can effectively improve the accuracy rate of enterprise identification compared with single sensor from the aspects of single sensor and multi-sensor.</span>