Introduction of Over/Under/Off Masses

TL;DR

This paper introduces the Over/Under/Off Mass concept for uncertain theories, extending existing logic and probability frameworks to improve information fusion in scenarios like wildfire management, coverage analysis, and security monitoring.

Contribution

It is the first to extend Over/Under/Off set logic to Mass functions for enhanced information fusion in uncertain environments.

Findings

Applied in wildfire evacuation, resource allocation, and social media analysis.

Effectively manages indeterminacy in coverage gaps.

Discounts contradictory or erroneous reports in security monitoring.

Abstract

In this paper, for the first time, we extend the Over/Under/Off Set/Logic/Probability used in uncertain theories (such as: fuzzy, neutrosophic and extensions) to the Over/Under/Off Mass that could be used in Information Fusion. The approach is exemplified in three scenarios: (1) wildfire evacuation and resource allocation with satellite, IoT, and social media; (2) coverage gaps where indeterminacy must be managed; and (3) security monitoring where contradictory or erroneous reports are discounted.