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Shadowed Fuzzy Sets: A Framework with More Freedom Degrees for Handling Uncertainties Than Interval Type-2 Fuzzy Sets and Lower Computational Complexity Than General Type-2 Fuzzy Sets

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New Concepts and Applications in Soft Computing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 417))

Abstract

In this chapter, the concept of Shadowed Fuzzy Set is introduced and some of its related operations are studied. Shadowed Fuzzy Set enables localization of the underlying uncertainty of fuzzy grades in type-2 fuzzy sets through exploitation of shadowed sets. It provides a capable framework that despite preserving the uncertainties of fuzzy grades in type-2 fuzzy sets, adheres the simplicity of the concept and operations of interval type-2 fuzzy sets.

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Correspondence to Hooman Tahayori .

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Tahayori, H., Sadeghian, A. (2013). Shadowed Fuzzy Sets: A Framework with More Freedom Degrees for Handling Uncertainties Than Interval Type-2 Fuzzy Sets and Lower Computational Complexity Than General Type-2 Fuzzy Sets. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A. (eds) New Concepts and Applications in Soft Computing. Studies in Computational Intelligence, vol 417. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28959-0_6

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  • DOI: https://doi.org/10.1007/978-3-642-28959-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28958-3

  • Online ISBN: 978-3-642-28959-0

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