Fuzzy Numbers Unraveling the Intricacies of Neural Network Functionality

Abstract

Vehbi Ramaj, Rame Elezaj and Elvir Cajic

This research delves into the synergy between fuzzy numbers and neural networks, presenting a novel perspective on interpreting neural network functionality. Fuzzy numbers offer a flexible framework to capture uncertainties and imprecisions, enriching the interpretability of neural network outputs. By integrating fuzzy number theory into the analysis, our study seeks to enhance the transparency and reliability of neural network models, contributing to a more nuanced understanding of their inner

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