Vague and incomplete data represented as linguistic values massively exists in diverse real-word applications. The task of forecasting fuzzy time series under uncertain circumstances is thus of great important but difficult. The inherent uncertainty involving time evolution usually makes the transition of states in a system probabilistic. In this paper, we proposed a new forecasting model based...

Any system with the ability to learn from a time series and predict the future must have a memory representing the information from the recent past. In cases where the external environment generating the time series has a fixed scale, the memory can be a simple shift register—a moving window of finite width extending into the past. The width of the window should be large enough to describe the ...

Various forecasting methods have been developed on the basis of fuzzy time series data, but accuracy has been matter of concern in these forecasts. The historical data of marine fish production of India have been taken to implement the model; as such time series data obtained through sample survey are likely to be imprecise. The study uses the fuzzy sets theory of Zadeh [1] and fuzzy time serie...

Based on the works [11], [22] a fuzzy time series model is proposed and applied to predict chaotic financial process. The general methodological framework of classical and fuzzy modelling of economic time series is considered. A complete fuzzy time series modelling approach is proposed. To generate fuzzy rules from data, the neural network with Supervised Competitive Learning (SCL)-based produc...

Fuzzy time series forecasting model is one of the tools that can be used to identify factors in order to solve the complex process and uncertainty, nowadays widely used in forecasting problems, but having appropriate universe of discourse and interval length are two subjects that exist in the Fuzzy time series. Recently Adaptive Time-Variant Model for fuzzy time series (ATVF) has been proposed ...

Electricity Power Consumption Forecasting (EPCF) plays an essential role in global electricity distribution systems that has a significant impact on the operation, control, and planning for production of electricity. Due to complexity, uncertainty consumption, especially when amount load consumed during different hours is not same, performing forecasting by using classical method inaccurate. To...