Towards Fairer Sanction Systems: Income-Based Models with Aggregation Functions

Luca Anzilli (), Marta Cardin () and Silvio Giove ()
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Luca Anzilli: University of Salento, Department of Economic Sciences
Marta Cardin: Ca’ Foscari University of Venice, Department of Economics
Silvio Giove: Ca’ Foscari University of Venice, Department of Economics

A chapter in New Perspectives in Mathematical and Statistical Methods for Actuarial Sciences and Finance, 2025, pp 1-13 from Springer

Abstract: Abstract This paper presents a novel framework for designing income-based fines that integrate both the severity of the offence and the financial capacity of the offender. The model employs a grid-based interpolation approach, initially using bilinear interpolation and then extending to more expressive aggregation techniques such as the Choquet integral and t-norms. This generalization allows for customizable sanction functions that reflect diverse legal and ethical priorities. Numerical simulations illustrate the impact of different aggregation strategies on fine outcomes.

Keywords: Sanctions; Decision support; Aggregation functions; Multiple-criteria analysis; Interpolation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-032-05551-4_1

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DOI: 10.1007/978-3-032-05551-4_1

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