A characterization of delay averse Choquet integrals for intertemporal analysis

Abstract In an intertemporal framework with a finite horizon, we pose the problem of characterizing which discrete Choquet integrals satisfy strong aversion to delayed rewards. This property is arguably a minimal condition for a reasonable evaluation of vectors of rewards received at successive periods of time. We relate this property to other distributional axioms discussed for this framework. Particularly, we show that for monotonic evaluations, delay-aversion is equivalent to consistency with cumulative domination. Then, we define a property (temporal anti-buoyancy) and we prove that it is necessary and sufficient for a capacity to define a strongly delay-averse Choquet integral.

Authors

Institutions

Publication Details

Journal
Theory and Decision
Published
2025-05-23
DOI
https://doi.org/10.1007/s11238-025-10047-x
Citations
2
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
4.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A characterization of delay averse Choquet integrals for intertemporal analysis

José Carlos R. Alcantud
2 citations
Theory and Decision
Multi-Criteria Decision Making
4.21
article

A characterization of delay averse Choquet integrals for intertemporal analysis

José Carlos R. Alcantud
article en
2 citations

Abstract

Abstract In an intertemporal framework with a finite horizon, we pose the problem of characterizing which discrete Choquet integrals satisfy strong aversion to delayed rewards. This property is arguably a minimal condition for a reasonable evaluation of vectors of rewards received at successive periods of time. We relate this property to other distributional axioms discussed for this framework. Particularly, we show that for monotonic evaluations, delay-aversion is equivalent to consistency with cumulative domination. Then, we define a property (temporal anti-buoyancy) and we prove that it is necessary and sufficient for a capacity to define a strongly delay-averse Choquet integral.

Theory and DecisionVol. 99(1-2)
Universidad de Salamanca (ES)
Universidad de Salamanca, Junta de Castilla y León
Openalex Percentile: Top 6%
Multi-Criteria Decision Making
4.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.