Fuzzy Rough Choquet Distances for Classification

arXiv:2403.11843v1 Announce Type: new
Abstract: This paper introduces a novel Choquet distance using fuzzy rough set based measures. The proposed distance measure combines the attribute information received from fuzzy rough set theory with the flexibility of the Choquet integral. This approach is designed to adeptly capture non-linear relationships within the data, acknowledging the interplay of the conditional attributes towards the decision attribute and resulting in a more flexible and accurate distance. We explore its application in the context of machine …

abstract arxiv classification cs.ai cs.lg data flexibility information integral linear non-linear novel paper relationships set theory type