Machine Learning via rough mereology

TL;DR

This paper introduces rough mereology, an extension of rough sets, providing a measurable degree of uncertainty to enhance machine learning and AI applications.

Contribution

It presents a novel extension of rough sets called rough mereology, adding quantifiable uncertainty measures to improve AI and machine learning methods.

Findings

Rough mereology offers a measurable uncertainty framework.

Extension of rough sets to rough mereology enhances ML applications.

Potential for broader AI integration with uncertainty quantification.

Abstract

Rough sets (RS)proved a thriving realm with successes inn many fields of ML and AI. In this note, we expand RS to RM - rough mereology which provides a measurable degree of uncertainty to those areas.