H. Hsiao Et Al. , "Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from Chinese stock markets," Economic Computation and Economic Cybernetics Studies and Research , vol.54, no.3, pp.263-278, 2020
Hsiao, H. Et Al. 2020. Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from Chinese stock markets. Economic Computation and Economic Cybernetics Studies and Research , vol.54, no.3 , 263-278.
Hsiao, H., Xia, C., YÜKSEL, S., & DİNÇER, H., (2020). Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from Chinese stock markets. Economic Computation and Economic Cybernetics Studies and Research , vol.54, no.3, 263-278.
Hsiao, Hsiao-Fen Et Al. "Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from Chinese stock markets," Economic Computation and Economic Cybernetics Studies and Research , vol.54, no.3, 263-278, 2020
Hsiao, Hsiao-Fen Et Al. "Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from Chinese stock markets." Economic Computation and Economic Cybernetics Studies and Research , vol.54, no.3, pp.263-278, 2020
Hsiao, H. Et Al. (2020) . "Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from Chinese stock markets." Economic Computation and Economic Cybernetics Studies and Research , vol.54, no.3, pp.263-278.
@article{article, author={Hsiao-Fen Hsiao Et Al. }, title={Comparative analysis of investor sentiment with weather conditions using interval type 2 fuzzy hybrid decision making and regression methods: Evidence from Chinese stock markets}, journal={Economic Computation and Economic Cybernetics Studies and Research}, year=2020, pages={263-278} }