Application of a New Type-2 Fuzzy Integration Model for the Classification of Inflation and Price Index Time Series: A Case Study of G20 Member Countries
Abstract
In today's age, one of the main consequences of operating in a globalized environment is the challenge of daily changing conditions, which strongly promote uncertainty in the behavior and processing of information. This, coupled with the complexity that nations face when observing constant and unforeseen changes, necessarily leads to seeking adaptation to daily uncertainty.
Keywords
Clustering, neural networks, time series, fuzzy systems