Thursday 25th of April 2024
 

Generalized If ... Then … Else Inference Rules with Linguistic Modifiers for Approximate Reasoning


Le Anh Phuong and Tran Dinh Khang

In this paper, based on the our previous researchs about generalized modus ponens with linguistic modifiers for If … Then rules, we propose generalized If…Then…Else inference rules with linguistic modifiers in linguistic many–valued logic framework with using hedge moving rules for approximate reasoning.

Keywords: Hedge algebra, linguistic truth value domain, generalized If…Then…Else inference rules, linguistic many–valued logic, approximate reasoning.

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ABOUT THE AUTHORS

Le Anh Phuong
Le Anh Phuong received his Master of Computer Science from School of Information & Communication Technology, Hanoi University of Science and Technology, Vietnam in the year 2001 and B.Sc (Honors) degree in Mathematic and Computer Science from Hue University of Education in 1996. He is now PhD student at School of Information & Communication Technology, Hanoi University of Science and Technology, Vietnam. He has contributed 10 technical papers in journals and conferences. His interest includes linguistic many-valued logic, fuzzy logic, uncertainty reasoning, computational logic.

Tran Dinh Khang
Tran Dinh Khang received his Diplom in Mathematical Cybernetics and Computing Techniques, Technische Universitaet Dresden, Germany in the year 1990 and PhD in Computer Science at School of Information & Communication Technology, Hanoi University of Science and Technology, Vietnam in 1999. He is now Prof and Vice Dean of School of Information & Communication Technology, Hanoi University of Science and Technology. He has contributed 60 technical papers in journals and conferences. His interest includes fuzzy logic and applications, computational logic, decision support systems.


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