In this study, a fuzzy time series modeling method that utilizes a class of customized and flexible parametric membership functions in the fuzzy rule consequents is introduced. The novelty of the proposed methodology lies in the flexibility of this membership function, which …
CITATION STYLE
Jónás, T., Eszter Tóth, Z., & Dombi, J. (2017). A Fuzzy Time Series Model with Customized Membership Functions (pp. 285–298). https://doi.org/10.1007/978-3-319-55789-2_20
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