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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 307))

Abstract

Dealing with imprecise information is a common task and challenge in everyday life, as uncertainty is inevitably involved in every real world system. Models are constructed to control, predict, and diagnose such systems, and so uncertainty should be properly incorporated into system description.

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Correspondence to Eulalia Szmidt .

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© 2014 Springer International Publishing Switzerland

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Szmidt, E. (2014). Introduction. In: Distances and Similarities in Intuitionistic Fuzzy Sets. Studies in Fuzziness and Soft Computing, vol 307. Springer, Cham. https://doi.org/10.1007/978-3-319-01640-5_1

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  • DOI: https://doi.org/10.1007/978-3-319-01640-5_1

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01639-9

  • Online ISBN: 978-3-319-01640-5

  • eBook Packages: EngineeringEngineering (R0)

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