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Well-Behaviored Operations for Approximate Sets

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1424))

Abstract

The prime ingredients of the operations of the human cognitive mind are descriptions. Descriptions may be approximate in the sense that imprecision may not allow the construction of a set from a word description. In a previous paper this type of imprecision was introduced with the name of approximate sets. The operations on approximate sets defined there were as precise as possible, but they had some difficulties, one of them being that the union operation defined was not associative. It was foreseen that precision in the operations might be traded for operational convenience. In this paper such a possibility is investigated, less precise operations are offered, and their convenience is studied.

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References

  1. Ebbinghaus, H-D., Flum, J.: Finite Model Theory. Springer-Verlag, Berlin Heidelberg New York (1995)

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  2. Miró, J., Miro-Julia, J.: Uncertainty and Inference Through Approximate Sets. In: Bouchon-Meunier, B., Valverde, L., Yager, R.R. (eds.): Uncertainty in Intelligent Systems. North-Holland, Amsterdam London New York Tokyo (1993) 203–214

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  3. Yao, Y.Y., Noroozi, N. A Unified Framework for Set-Based Computations. In: Lin, T.Y. (Ed.): Proceedings of the 3rd International Workshop on Rough Sets and Soft Computing, San Jose, California, (1994) 236–243.

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© 1998 Springer-Verlag Berlin Heidelberg

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Miro-Julia, J., Miró, J. (1998). Well-Behaviored Operations for Approximate Sets. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_7

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  • DOI: https://doi.org/10.1007/3-540-69115-4_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64655-6

  • Online ISBN: 978-3-540-69115-0

  • eBook Packages: Springer Book Archive

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