• No results found

[PDF] Top 20 An approach to represent time series forecasting via fuzzy numbers

Has 10000 "An approach to represent time series forecasting via fuzzy numbers" found on our website. Below are the top 20 most common "An approach to represent time series forecasting via fuzzy numbers".

An approach to represent time series forecasting via fuzzy numbers

An approach to represent time series forecasting via fuzzy numbers

... new approach for estimating the uncertainty in the forecast through the construction of Triangular Fuzzy Numbers ...a Fuzzy logic based Lower and Upper Bound Estimator ...proposed ... See full document

6

A Modified Approach on Fuzzy Time Series Forecasting

A Modified Approach on Fuzzy Time Series Forecasting

... different time series models have been designed and ...uncertain forecasting based on uncertain observed ...trapezoidal fuzzy numbers are used to further enhance the forecasting ... See full document

11

An enhanced fuzzy linguistic term generation and representation for time series forecasting

An enhanced fuzzy linguistic term generation and representation for time series forecasting

... Triangular Fuzzy Numbers (TFNs) called Enhanced Linguistic Generation and Representation Approach ...a Fuzzy logic based Lower and Upper Bound Estimator (FLUBE) by getting the models of ... See full document

8

A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series

A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series

... of fuzzy time series forecasting and Markov ...a fuzzy time series prediction method based on consecutive ...a time invariant relation matrix for fuzzy ... See full document

13

Forecasting the Number of Muslim Pilgrims Using Fuzzy Time Series

Forecasting the Number of Muslim Pilgrims Using Fuzzy Time Series

... Therefore forecasting the NPO is considered by Saudi Arabia as the most important indicator in determining the planning mechanism for future secure and comfortable pilgrimage ...the fuzzy time ... See full document

7

Forecasting Simulation with ARIMA and Combination
 of Stevenson-Porter-Cheng Fuzzy Time Series

Forecasting Simulation with ARIMA and Combination of Stevenson-Porter-Cheng Fuzzy Time Series

... in forecasting for a univariate time ...for forecasting. Another approach to forecasting time series introduced by Song and Chissom [5] ...i.e. fuzzy time ... See full document

6

Modified weighted for enrollment forecasting based on fuzzy time series

Modified weighted for enrollment forecasting based on fuzzy time series

... on fuzzy time ...adoption approach has been shown much improvement in terms of MSE (Mean Square Error) and average error of forecasting ... See full document

12

Recurrent Type Fuzzy Time Series Forecasting Method Based on Artificial Neural Networks

Recurrent Type Fuzzy Time Series Forecasting Method Based on Artificial Neural Networks

... classical time series methods include not only Autoregressive (AR) variables, but also Moving Average (MA) ...the forecasting models of the fuzzy time series proposed in the ... See full document

14

Study On Fuzzy Time Invariant Series Models For Crop Production Forecasting

Study On Fuzzy Time Invariant Series Models For Crop Production Forecasting

... The fuzzy set theory has advanced in a number of ways and in many ...disciplines. Fuzzy set theory has applications in artificial intelligence, computer science, medicine, control engineering, decision ... See full document

13

Study on Fuzzy Time Invariant Series Models for Crop Production Forecasting

Study on Fuzzy Time Invariant Series Models for Crop Production Forecasting

... The fuzzy set theory has advanced in a number of ways and in many ...disciplines. Fuzzy set theory has applications in artificial intelligence, computer science, medicine, control engineering, decision ... See full document

13

Fuzzy Time Series and Geometric Brownian Motion in Forecasting Stock Prices in Bursa Malaysia

Fuzzy Time Series and Geometric Brownian Motion in Forecasting Stock Prices in Bursa Malaysia

... Fuzzy time series is an idea formulated by Song and Chissom proposed in ...2009), forecasting wheat production (Stevenson & Porter, 2009), forecasting rainfall distribution of a ... See full document

11

Multilayer stock forecasting model using fuzzy time series

Multilayer stock forecasting model using fuzzy time series

... another approach which used a single-variable constrained optimization to determine the ratio for the length of ...the forecasting process, which combined two granulating methods (the minimize entropy ... See full document

10

A COMPARISON OF FUZZY TIME SERIES AND  LEAST-SQUARE METHOD IN FORECASTING  STUDENTS’ ENROLMENT

A COMPARISON OF FUZZY TIME SERIES AND LEAST-SQUARE METHOD IN FORECASTING STUDENTS’ ENROLMENT

... Enrolment forecasting, which provides information for decision making and budget planning, is impor- tant in many ways to higher ...many forecasting methods to improve ...enrolment numbers. In this ... See full document

12

Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation

Design of a Fuzzy Time Series Forecasting Model for Hydro Power Generation

... used forecasting the number of outpatient visits can help the expert of healthcare administration to make a strategic ...of fuzzy based methods for non-stationary, non-linear time ...length ... See full document

5

A Proposed Model For Forecasting Stock Markets Based On Clustering Algorithm And Fuzzy Time Series

A Proposed Model For Forecasting Stock Markets Based On Clustering Algorithm And Fuzzy Time Series

... In this paper, we apply the proposed method to forecast TAIFEX index with the whole historical data [8], from 8/3/1998 to 9/30/1998 are used to perform comparative study in the training phase. In order to verify the ... See full document

6

Time Series Forecasting Using Fuzzy Time Series With Hedge Algebras Approach

Time Series Forecasting Using Fuzzy Time Series With Hedge Algebras Approach

... the forecasting outputs [11] as the basis to calculate the forecasting results hence it carried heavy subjective and is not related to the inherent semantic of information granules (as linguistic ...our ... See full document

9

Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting.

Hedge Algebra Approach for Fuzzy Time series To Improve Result Of Time Series Forecasting.

... using fuzzy time series for forecasting have been ...by fuzzy sets (computation-semantics) it human-imposed and the rest (context-semantic) is due to the context of the ...new ... See full document

11

A hybridwind speed forecasting system based on a 'decomposition and ensemble' strategy and fuzzy time series

A hybridwind speed forecasting system based on a 'decomposition and ensemble' strategy and fuzzy time series

... wind forecasting, including the adaptive linear element, back propagation, and radial basis function, and demonstrated that no single model is superior to others for all evaluation ...wind forecasting, and ... See full document

30

Improved models in fuzzy time series for forecasting

Improved models in fuzzy time series for forecasting

... in time series area of study ...using Fuzzy Time Series in several applications, far too little attention has been paid to propose an appropriate data pre-processing whereby FTS ... See full document

32

Developing defuzzifying method of fuzzy time-variant series for forecasting product demand

Developing defuzzifying method of fuzzy time-variant series for forecasting product demand

... useful approach to deal with data is fuzzy logic (Song and Chissom, 1993b) which is able to use both types of data as an input and produce fuzzy data as ...output. Fuzzy time ... See full document

24

Show all 10000 documents...