casa 24(1):

Editorial

Toward Modeling Linguistic Fuzzy Spanning Trees Based on Hedge Algebra

Download22 downloads
  • @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
Nguyen Van Han1,*
  • 1: Trường ĐH Nguyễn Tất Thành
*Contact email: nvhan@ntt.edu.vn

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.