Performance Measurement of Debt Collection Firms Using Spherical Fuzzy Aggregation Operators

Abstract

Debt collection is a problematic area of the lenders. When the lenders cannot collect their debts, they rent debt collection firms for their debts to be collected from borrowers. Selection among numerous collection firms is another challenging problem with several criteria under uncertainty. Based on the past performances of the collection firms, we rank these firms using a spherical fuzzy multiattribute decision making approach. Spherical fuzzy sets are a new extension of ordinary fuzzy sets developed by Kutlu Gundogdu and Kahraman [1] based on the independent membership, nonmembership, and hesitancy degrees on the unit sphere. The proposed multiattribute decision making method uses aggregation operators for spherical fuzzy sets and score functions. We present the application of a real project in Turkey.