A decision-making method based on soft set under incomplete information

Incomplete information in a soft set restricts the usage of the soft set. To make the incomplete soft set more useful, in this paper, we propose an algorithm with missing data filling for incomplete soft set, in which missing data is filled in terms of the association between the parameters. Based on this, we propose a decision-making method to meet the requirements of different customers. At last, an illustrative example is provided to show the feasibility and validity of our approach in practical applications.