Fuzzy Time Series Models Using Pliant- and Asymptotically Pliant Arithmetic-Based Inference
Fuzzy Time Series Models Using Pliant- and Asymptotically Pliant Arithmetic-Based Inference is a scholarly work, published in 2018 in ''Neural Processing Letters''. The main subjects of the publication include Type-2 fuzzy sets and systems, artificial intelligence, computer science, Defuzzification, artificial neural network, series, Fuzzy number, market forecast, Fuzzy control system, inference, and fuzzy logic. The fuzzy time series modeling techniques proposed in this study are based on a fuzzy inference method in which the fuzzy output is either a so-called pliant or quasi pliant (q-pliant) number.