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Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures · Study

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ArticleFuzzy time series forecasting based on fuzzy logical relationships and similarity measures

Shou-Hsiung Cheng2015

Article2015

Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures

Shou-Hsiung Cheng · Shyi‐Ming Chen · Wen‐Shan Jian

222 citations·0/0 files stored·Information Sciences

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Stock Market Forecasting Methods Forecasting Techniques and Applications Fuzzy Logic and Control Systems

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References

1965Fuzzy sets 1996Fuzzy sets 1993Forecasting enrollments with fuzzy time series — Part I 1996Forecasting enrollments based on fuzzy time series 1994Forecasting enrollments with fuzzy time series — part II 2001Effective lengths of intervals to improve forecasting in fuzzy time series 2002FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES 2004Weighted fuzzy time series models for TAIEX forecasting

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2018Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques 2019Interval-valued intuitionistic fuzzy multiple attribute decision making based on nonlinear programming methodology and TOPSIS method 2016Fuzzy time series forecasting based on optimal partitions of intervals and optimal weighting vectors 2019Designing fuzzy time series forecasting models: A survey 2016Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques

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Year2015

Typearticle

Published2015-08-22

VenueInformation Sciences

ISSN-L0020-0255

Languageen

Citations222

Files0 public / 0

ShelfStock Market Forecasting Methods

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doi10.1016/j.ins.2015.08.024

openalex_workW1125761772

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2016

Fuzzy time series forecasting method based on hesitant fuzzy sets

2019Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques

2016An intelligent pattern recognition model for supporting investment decisions in stock market