Research on engineering cost prediction based on similarity.

To address the issues of inaccurate predictions and computational complexity in the rapid quotation process for construction projects, this paper proposes a method for construction cost prediction based on Vague similarity(VS). Initially, due to factors such as season, construction location, and market conditions, the unit prices of construction projects exhibit a degree of uncertainty, manifested as a range of quotation values. The proposed method introduces a conversion technique to transform interval values into Vague values, thereby transforming the engineering characteristic matrix into a Vague matrix. Subsequently, Vague similarity is utilized to identify the projects most similar to the intended construction project among the reference projects. Based on these similar projects, relevant formulas are applied to predict the unit cost of the intended construction project. Finally, a case study is presented to elaborate on the application steps of the proposed method, further demonstrating its rationality.