casa 18(15): e5

Research Article

Toward Modeling and Reasoning with Words Based on Hedge Algebra

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  • @ARTICLE{10.4108/eai.6-2-2019.156535,
        author={Nguyen Van Han and Phan Cong Vinh},
        title={Toward Modeling and Reasoning with Words Based on Hedge Algebra},
        journal={EAI Endorsed Transactions on Context-aware Systems and Applications},
        volume={5},
        number={15},
        publisher={EAI},
        journal_a={CASA},
        year={2018},
        month={12},
        keywords={fuzzy logics, linguistic variable, hedge algebra, linguistic cognitive map, modeling with words, reasoning with words},
        doi={10.4108/eai.6-2-2019.156535}
    }
    
  • Nguyen Van Han
    Phan Cong Vinh
    Year: 2018
    Toward Modeling and Reasoning with Words Based on Hedge Algebra
    CASA
    EAI
    DOI: 10.4108/eai.6-2-2019.156535
Nguyen Van Han1,2,*, Phan Cong Vinh3
  • 1: Faculty of Information Technology, College of Science, Hue University 77 Nguyen Hue street, Phu Nhuan ward, Hue city, Vietnam
  • 2: Ho Chi Minh City Industry And Trade College. 20 Tang Nhon Phu street, Phuoc Long B Ward, District 9, Ho Chi Minh city. Vietnam
  • 3: Faculty of Information Technology, Nguyen Tat Thanh University 300A Nguyen Tat Thanh street, Ward 13 District 4, Ho Chi Minh city. Vietnam
*Contact email: nvhan@fit-hitu.edu.vn

Abstract

In this paper, we introduce a method for reasoning with words based on hedge algebra using linguistic cognitive map. Our computing method consists of static and dynamic reasoning. In static reasoning, inferring on causal path of graph drives fuzzy linguistic value between any vertices and edges. With dynamic reasoning, system behaves as a dynamical system and convolution as automata property.