Research on Multi-Characteristic Enterprise Product Intelligent Pricing Method Based on GSADF-TOPSIS-BP Model

Abstract

Enterprise product shows many characteristics, thus, pricing is an essential strategy of an enterprise, but the multi-characteristic enterprise product pricing method does not adapt to the dynamic and changeable market demand. As a method of artificial intelligence, the prediction ability of BP (Back ProPagation Network) has been questioned and challenged. Therefore, this article established a multi-characteristic intelligent pricing method research system for an enterprise products, through GSADF (Generalized Sup ADF Statistic) model, measured the price bubble of enterprise products; TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method, established the multi-characteristic enterprise product price impact factor index system and sort the weight, clarify the weight of price impact factor; Further, built GSADF-TOPSIS-BP model as an intelligent pricing method model and make the final pricing based on the price bubble risk level and risk alert, the multi-characteristic enterprise product intelligent pricing method is determined. It reflects the intelligence and superiority compared with the traditional pricing method model, and provides new ideas and methods for multi-characteristic enterprise product pricing.