Abstract
Classical fuzzy model computes a crisp response for crisp inputs. This paper presents a method for computing fuzzy model response for fuzzy inputs. The method is based on singleton representation of a fuzzy set and it enables to obtain fuzzy response for fuzzy inputs. The presented method is compared with alternative approaches: Zadeh’s possibilistic method and method based on similarity measure. The validity of the proposed method is illustrated with experimental results (in comparison with extension principle results).
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Murawko-Wiśniewska, K., Piegat, A. (2007). Singleton Representation of Fuzzy Set for Computing Fuzzy Model Response for Fuzzy Inputs. In: Pejaś, J., Saeed, K. (eds) Advances in Information Processing and Protection. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73137-7_13
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DOI: https://doi.org/10.1007/978-0-387-73137-7_13
Publisher Name: Springer, Boston, MA
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