Customer Requirement Importance Determination Method Based on Uncertain Language Information Entropy

To reflect the uncertainty of the objective environment in an effective way, a customer demand selection method based on information entropy of uncertain language is proposed. First, the customer representative uses uncertain language variables to represent the competitiveness of the company’s products and those of its competitors. Secondly, the method of information entropy was used to determine the competitive priority of each customer demand item. Finally, taking the improvement of the PE crusher as an example, the practicability and reliability of the proposed method are illustrated.