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Conclusions

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Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 142))

Abstract

This chapter gives some conclusions with the summary of the book. We evaluate our work in connection with others. We also discuss several issues to be investigated.

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References

  1. Gärdenfors, P.: Knowledge in Flux: Modeling the Dynamics of Epistemic States. MIT Press, Cambridge, Mass (1988)

    MATH  Google Scholar 

  2. Katsuno, H., Mendelzon, A.: Propositional knowledge base revision and minimal change. Artif. Intell. 52, 263–294 (1991)

    Article  MathSciNet  MATH  Google Scholar 

  3. Katsuno, H., Mendelzon, A.: On the difference between updating a knowledge base and revising it. In: Gärdenfors, P. (ed.) Belief Revision. Cambridge University Press, Cambridge (1992)

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  4. Segerberg, K.: Irrevocable belief revision in dynamic doxastic logic. Notre Dame J. Form. Logic 39, 287–306 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  5. Lin, T.: Granular computing on baniary relation, I and II. In: Polkowski et al. (eds.) Rough Sets in Knowledge Discovery pp. 107–121, 122–140. Physica-Verlag (1998)

    Google Scholar 

  6. Murai, T., Nakata, M., Sato: A note on filtration and granular resoning. In: Terano et al. (eds.) New Frontiers in Artificial Intelligence, LNAI 2253, pp. 385–389. (2001)

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  7. Murai, T., Resconi, G., Nakata, M. and Sato, Y.: Operations of zooming in and out on possible worlds for semantic fields, E. Damiani et al. (eds.), Knowledge-Based Intelligent Information Engineering Systems and Allied Technology, 1083–1087, IOS Press, 2002

    Google Scholar 

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Correspondence to Seiki Akama .

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Akama, S., Murai, T., Kudo, Y. (2018). Conclusions. In: Reasoning with Rough Sets. Intelligent Systems Reference Library, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-72691-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-72691-5_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72690-8

  • Online ISBN: 978-3-319-72691-5

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