[PDF] Top 20 Fuzzy Time Series based method for Wheat production Forecasting
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Fuzzy Time Series based method for Wheat production Forecasting
... Another definition can also be termed as “series of data with time stamping on is called something as time series.” Hence in time series we capture data at specific time to get a pattern[r] ... See full document
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Modified weighted for enrollment forecasting based on fuzzy time series
... decade, fuzzy time series has been widely used for forecasting data of dynamic and non-linear data in ...for forecasting used fuzzy time series such as enrollment ... See full document
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Article Forecasting Based on High-Order Fuzzy-Fluctuation Trends and Particle Swarm Optimization Machine Learning Jingyuan Jia 1, Aiwu Zhao 1, * and Shuang Guan 2
... novel method to forecast the fluctuation of stock ...is based on the fluctuation values instead of the exact values of the time ...training time series to generate a new fluctuation ... See full document
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Wheat Yield Forecasting Based on Landsat NDVI and SAVI Time Series
... like wheat. Wheat is the third most grown cereal after maize and rice with a production of ...(World Wheat Production, ...actual production is important in making policies and ... See full document
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A Computational Method for Rice Production Forecasting Based on High-Order Fuzzy Time Series
... computational method of forecasting based on high-order (order 4 and higher) fuzzy logical relations with a motivation to examine the nature and general suitability of this high-order ... See full document
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A New Hybrid Fuzzy Time Series Forecasting Model Combined the Time -Variant Fuzzy Logical Relationship Groups with Particle Swam Optimization
... proposed method shows better forecasting accuracy than CC06a model using GA algorithm based the first – order FTS for all ...the fuzzy logical relationship groups and forecasted rule they ... See full document
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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
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A Particle Swarm Intelligence Based Fuzzy Time Series Forecasting Model
... modified method to predict total number of annual car road accidents based on the m- factors high-order fuzzy time ...This method provides a general framework for forecasting ... See full document
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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
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A Forecasting Model Based On Combining Automatic Clustering Technique And Fuzzy Time Series
... The fuzzy logical relationships and the lengths of intervals are two critical factors that affect forecasting accuracy of ...new forecasting method in the fuzzy time ... See full document
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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 ...of ... See full document
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Preliminary Theory of Set SDR of Fuzzy Time Series Forecasting Model
... of time series forecasting is in constant innovation, new methods are constantly ...introduced fuzzy set theory into time series prediction problem and proposed the first ... See full document
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A Hybrid Forecasting Model Based On Automatic Clustering Algorithm And Fuzzy Time Series
... forecasting problems in which the historical data are represented by linguistic values. Ref. [1], [2] proposed the time-invariant FTS and the time-variant FTS model which use the max–min operations ... See full document
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Time Series Forecasting Using Fuzzy Time Series With Hedge Algebras Approach
... better forecasting accuracy rate than ...average based length as a way to solve the ...a method of partitioning the universe of ...of fuzzy time series that are linguistic ... See full document
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Enrollments Forecasting Based On Aggregated K Means Clustering and Fuzzy Time Series
... time series used the static length of intervals, ...new method for forecasting enrolments based on Fuzzy Time Series and K-Mean ...some forecasting models ... See full document
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Time Series Seasonal Analysis Based on Fuzzy Transforms
... Here we give a forecasting method based on F-transforms for seasonal time series analysis. 87[r] ... See full document
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Time Series Modeling for Trend Analysis and Forecasting Wheat Production of India
... of wheat during 2012. The major wheat producing states in India are placed in the northern part of the country with Uttar Pradesh, Punjab and Haryana contributing to nearly 80% of the total wheat ... See full document
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A Forecasting Model Based On K-means Clustering And Time-invariant Fuzzy Relationship Groups
... the forecasting accuracy rates of the existing fuzzy forecasting methods based on the static length of intervals are not good ...hybrid forecasting model which combined particle swarm ... See full document
7
Study On Fuzzy Time Invariant Series Models For Crop Production Forecasting
... the time invariant model have been developed refined and applied on the forecasting of Lahi crop ...the fuzzy time invariant series forecasting models is to develop better ... See full document
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Study on Fuzzy Time Invariant Series Models for Crop Production Forecasting
... of fuzzy time series; time invariant model development and its implementation in forecasting the agricultural ...the forecasting of Lahi crop production of University ... See full document
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