<p>The q-rung orthopair fuzzy soft set theory provides effective tools for dealing with the imprecision and uncertainty in the data. Its potential to incorporate adequate parameters helps the business experts in processing the data effectively which is an important ingredient of decision-making processes. The objective of this paper is first to define the notion of entropy measures for the q-rung orthopair fuzzy soft sets (q-ROFSSs) and then to study its characterizations. Based on the concepts defined herein, an effective decision-making approach is proposed in the selection of project contractors for the construction of a mega project. A numerical example is presented to demonstrate the technique given in this paper and a comparative study with other existing approaches is executed as well. It is concluded that the proposed technique proves to be an innovative in handling the data where the comparable techniques were unable to deal and handle the data effectively.</p>