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The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators

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Book cover New Directions in Rough Sets, Data Mining, and Granular-Soft Computing (RSFDGrC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1711))

Abstract

Based on First-Order Rough Logic Studied by Lin and Liu, this paper establishes rough propositional logical system with rough lower (L) and upper (H) approximate operators. It discusses the resolution principle in the system. The soundness of resolution deduction, soundness and completeness of the refutation are also studied in the paper.

The study is supported by national natural science fund and JiangXi Province natural science fund in China.

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References

  1. Lin, T.Y., Liu, Q.: First-Order Rough Logic I:Approximate Reasoning via Rough Sets. Fundamenta Infomaticae 27(2,3), 137–154 (1996)

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  2. Lin, T.Y., Liu, Q.: First-Order Rough Logic Revised. Manuscript 5 (1999)

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  3. Farinas-del-Cerro, L.: Resolution Modal Logic. In: Proceedings of the Eighth International Coference on Atomata Deduction (1985)

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  4. Liu, Q.: The OI-Resolution of Operator Rough Logic. In: Polkowski, L., Skowron, A. (eds.) RSCTC 1998. LNCS (LNAI), vol. 1424, pp. 432–435. Springer, Heidelberg (1998)

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  5. Liu, Q.: Operator Rough Logic and Its Resolution Principles. Journal of Coputer (May 1998) (Chinese)

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© 1999 Springer-Verlag Berlin Heidelberg

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Liu, Q. (1999). The Resolution for Rough Propositional Logic with Lower (L) and Upper (H) Approximate Operators. In: Zhong, N., Skowron, A., Ohsuga, S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science(), vol 1711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48061-7_42

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  • DOI: https://doi.org/10.1007/978-3-540-48061-7_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66645-5

  • Online ISBN: 978-3-540-48061-7

  • eBook Packages: Springer Book Archive

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