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Public–private partnership (PPP) road projects are highly leveraged capital‐intensive projects. Lenders, which provide the major portion of financing in the form of debt instruments, undertake loan approval processes to examine the various aspects of the projects that could influence the debt servicing capability while making credit decisions. In view of this, project sponsors could also assess beforehand how desirable is the project from the debt financing perspective in order to facilitate timely arrangement of debt financing and avoid funding problems. The Desirability Rating Analytical Tool (DRAT) has been developed in order to enable the project sponsor to assess how desirable the project is from a debt financing perspective. DRAT uses the aggregation operator Choquet fuzzy integral to aggregate the information relating to the various aspects of PPP road projects that lenders take into account while making credit decisions. The application of DRAT is illustrated with an example of a PPP road project from a National Highways Development Programme undertaken by the National Highway Authority of India, Government of India. DRAT expressed the result of the information aggregation in the form of a desirability rating profile indicating the degrees of membership to different levels of desirability. The desirability rating profiles of the project provide valuable information for decision making and can help in formulating strategies on improving the performance of the project where it is not performing satisfactorily.
Laishram et al. (Tue,) studied this question.
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