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    Slicing Strategies for the Generalised Type-2 Mamdani Fuzzy Inferencing System

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    ICAISC-SlicingT2FS.pdf (358.4Kb)
    Date
    2016
    Author
    Greenfield, Sarah;
    Chiclana, Francisco
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    Abstract
    As a three-dimensional object, there are a number of ways of slicing a generalised type-2 fuzzy set. In the context of the Mamdani Fuzzy Inferencing System, this paper concerns three accepted slicing strategies, the vertical slice, the wavy slice, and the horizontal slice or alpha -plane. Two ways of de ning the generalised type-2 fuzzy set, vertical slices and wavy slices, are presented. Fuzzi cation and inferencing is presented in terms of vertical slices. After that, the application of all three slicing strategies to defuzzi cation is described, and their strengths and weaknesses assessed.
    Description
    The final publication is available at Springer via http://dx.doi.org/[insert DOI]".
    Citation : Greenfield, S. and Chiclana, F. (2016) Slicing Strategies for the Generalised Type-2 Mamdani Fuzzy Inferencing System. 15th International Conference on Artificial Intelligence and Soft Computing. Accepted February 2016.
    URI
    http://hdl.handle.net/2086/11587
    Research Group : Centre for Computational Intelligence
    Research Institute : Institute of Artificial Intelligence (IAI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2970]

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