Conditional Aggregation-Based Choquet Integral as a Choquet Integral on a Hyperspace
Jana Borzov\'a, Lenka Hal\v{c}inov\'a, Jaroslav \v{S}upina

TL;DR
This paper demonstrates how the conditional aggregation-based Choquet integral can be represented as a standard Choquet integral on a hyperspace, enabling new insights and computational formulas for this mathematical construct.
Contribution
It provides a novel representation of the conditional aggregation-based Choquet integral as a standard Choquet integral on a hyperset, expanding theoretical understanding and computational methods.
Findings
Derived formulas for computing the conditional aggregation-based Choquet integral.
Established its representation as a Choquet integral on a hyperspace.
Expressed the integral in terms of the Möbius transform.
Abstract
We aim at representing the recently introduced conditional aggregation-based Choquet integral as a standard Choquet integral on a hyperset. The representation is one of transformations considered by R.R. Yager and R. Mesiar in 2015. Thus we study the properties of the conditional aggregation-based Choquet integral using well-known facts about the standard Choquet integral. In particular, we obtain several formulas for its computation. We also provide the representation of the conditional aggregation-based Choquet integral in terms of the M\"obius transform.
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Taxonomy
TopicsMulti-Criteria Decision Making · Rough Sets and Fuzzy Logic · Bayesian Modeling and Causal Inference
