Long-term business cycle forecasting through a potential intuitionistic fuzzy least-squares support vector regression approach

Information Sciences

Volumn 224, Issue , 2013, Pages 37-48

  Hung, Kuo Chen ^a,b   Lin, Kuo Ping ^c  

^a NATIONAL DEFENSE UNIVERSITY   (Taiwan)

^b HUNGKUANG UNIVERSITY   (Taiwan)

^c LUNGHWA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Intuitionistic fuzzy least squares support vector regression; Least squares support vector regressions; Long term business cycle forecasting; Support vector regression

Indexed keywords

AUTO-REGRESSIVE INTEGRATED MOVING AVERAGE; BUSINESS CYCLES; BUSINESS INDICES; ECONOMIC EVALUATIONS; FORECASTING ACCURACY; FORECASTING PROBLEMS; FUZZY SUPPORT VECTOR REGRESSIONS; INTUITIONISTIC FUZZY; INTUITIONISTIC FUZZY SETS; LEAST SQUARES SUPPORT VECTOR REGRESSION; LONG-TERM PREDICTION; PREDICTION MODEL; SUPPORT VECTOR REGRESSION (SVR); UNCERTAIN FACTORS; UPPER AND LOWER BOUNDS;

FORECASTING; FUZZY SETS; GENETIC ALGORITHMS; REGRESSION ANALYSIS; VECTORS;

LEAST SQUARES APPROXIMATIONS;

EID: 84870983806     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.10.033     Document Type: Article

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