Abstract
We study knowledge-based systems using symbolic many-valued logic. In previous papers we have proposed a symbolic representation of nuanced statements. Firstly, we have introduced a symbolic concept whose role is similar to the role of the membership function within a fuzzy context. Using this concept, we have defined linguistic modifiers. In this paper, we propose new deduction rules dealing with nuanced statements. More precisely, we present new Generalized Modus Ponens rules within a many-valued context.
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References
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© 2003 Springer-Verlag Berlin Heidelberg
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El-Sayed, M., Pacholczyk, D. (2003). A Symbolic Approximate Reasoning. In: Wang, G., Liu, Q., Yao, Y., Skowron, A. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2003. Lecture Notes in Computer Science(), vol 2639. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-39205-X_59
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DOI: https://doi.org/10.1007/3-540-39205-X_59
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