Abstract
(α,β)-qualitative approximations of fuzzy sets are studied by using a pair of subsets defined by an α-cut and a strong β-cut. This setting naturally leads to three disjoint regions and an analysis based on a three-valued logic. This study combines both an algebra view and a logic view. From the algebra view, the mathematical definition of an (α,β)-approximation of fuzzy sets is given, and algebraic operations based on various t-norms and fuzzy implications are established. From the logic view, two non-classical three-valued logics are introduced. Corresponding to these new non-classical three-valued logics, the related origins of t-norms and fuzzy implications are examined.
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Zhang, X., Yao, Y., Zhao, Y.: Qualitative Approximations of Fuzzy Sets and Non-classical Three-Valued Logics (I). In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds.) RSKT 2010. LNCS(LNAI), vol. 6401, pp. 195–203. Springer, Heidelberg (2010)
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Zhang, X., Yao, Y., Zhao, Y. (2010). Qualitative Approximations of Fuzzy Sets and Non-classical Three-Valued Logics (II). In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds) Rough Set and Knowledge Technology. RSKT 2010. Lecture Notes in Computer Science(), vol 6401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16248-0_32
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DOI: https://doi.org/10.1007/978-3-642-16248-0_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16247-3
Online ISBN: 978-3-642-16248-0
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