Editorial
Toward Modeling Linguistic Fuzzy Spanning Trees Based on Hedge Algebra
@ARTICLE{10.4108/eetcasa.7337, author={Nguyen Van Han}, title={Toward Modeling Linguistic Fuzzy Spanning Trees Based on Hedge Algebra}, journal={EAI Endorsed Transactions on Contex-aware Systems and Applications}, volume={10}, number={1}, publisher={EAI}, journal_a={CASA}, year={2024}, month={9}, keywords={Linguistic Fuzzy Maximum Spanning Tree, Hedge Algebra, Fuzzy graph, Linguistic Variables}, doi={10.4108/eetcasa.7337} }- Nguyen Van Han
Year: 2024
Toward Modeling Linguistic Fuzzy Spanning Trees Based on Hedge Algebra
CASA
EAI
DOI: 10.4108/eetcasa.7337
Abstract
This paper presents an innovative approach to modeling Linguistic Fuzzy Maximum Spanning Trees (L-FMSTs) using Hedge Algebra (HA). HA provides a robust framework for quantifying linguistic terms, which is essential for handling the vagueness inherent in natural language. By integrating HA with L-FMSTs, we aim to enhance the interpretability and performance of fuzzy systems in applications requiring complex decision-making and optimization.
Copyright © 2024 Nguyen Van Han, licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
