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@article{50561, author = {Hašková, Simona}, article_location = {Liberec, Czech Republic}, article_number = {2}, doi = {http://dx.doi.org/10.15240/tul/004/2019-2-004}, keywords = {short-term prediction; non-deterministic environment; fuzzy approach; expert knowledge}, language = {eng}, issn = {1803-9782}, journal = {ACC Journal}, title = {An alternative approach for estimating GDP growth rate: Fuzzy prediction model}, volume = {25}, year = {2019} }
TY - JOUR ID - 50561 AU - Hašková, Simona PY - 2019 TI - An alternative approach for estimating GDP growth rate: Fuzzy prediction model JF - ACC Journal VL - 25 IS - 2 SP - 55-63 EP - 55-63 PB - Technical University of Liberec SN - 18039782 KW - short-term prediction KW - non-deterministic environment KW - fuzzy approach KW - expert knowledge N2 - The aim of the paper is to predict the growth rate of the output within a short time period using the fuzzy approach, which is an appropriate tool for analyzing problems burdened by uncertainty. The fuzzy prediction results showed no significant deviations from the statistical predictions. Nevertheless, the model input data monotonic development enabled us to demonstrate one of the ways by means of which the experts can correct the deficiencies of the fuzzy algorithm. ER -
HAŠKOVÁ, Simona. An alternative approach for estimating GDP growth rate: Fuzzy prediction model. \textit{ACC Journal}. Liberec, Czech Republic: Technical University of Liberec, roč.~25, č.~2, s.~55-63. ISSN~1803-9782. doi:10.15240/tul/004/2019-2-004. 2019.
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