CY Wang, SM Chen - Information Sciences, 2017 - Elsevier
In this paper, we propose an improved multiple attribute decision making (MADM) method based on the proposed new score function S WC of interval-valued intuitionistic fuzzy values …
CY Wang, SM Chen - Information Sciences, 2018 - Elsevier
Score functions and accuracy functions of interval-valued intuitionistic fuzzy values (IVIFVs) play important roles in dealing with multiple attribute decision making (MADM) problems in …
SM Chen, ZC Huang - Information Sciences, 2017 - Elsevier
In recent years, some multiattribute decision making (MADM) methods have been presented based on interval-valued intuitionistic fuzzy sets (IVIFSs). In this paper, we propose a new …
SM Chen, SH Yu - Information Sciences, 2022 - Elsevier
In this paper, we propose a novel multiattribute decision making (MADM) method on the basis of the proposed novel score function (SF) of interval-valued intuitionistic fuzzy values …
SM Chen, KY Tsai - Information Sciences, 2021 - Elsevier
In this paper, we propose a novel multiattribute decision making (MADM) method on the basis of the proposed score function of interval-valued intuitionistic fuzzy values (IVIFVs) and …
SM Chen, HC Ma - Information Sciences, 2023 - Elsevier
In this paper, we propose a new multiattribute decision making (MADM) method based on the proposed nonlinear programming (NLP) model, the Gini coefficient, and the proposed …
SM Chen, YC Chu - Information Sciences, 2020 - Elsevier
In this paper, we propose a new multiattribute decision making (MADM) method based on the U-quadratic distribution of intervals and the transformed matrix of the decision matrix …
XY Zou, SM Chen, KY Fan - Information Sciences, 2021 - Elsevier
In this paper, we propose a new method for multiattribute decision making (MADM) using probability density functions and the transformed decision matrix (TDMx) of the decision …
SM Chen, HL Deng - Information Sciences, 2022 - Elsevier
In this paper, we propose a novel multiattribute decision making (MADM) method using the nonlinear programming (NLP) methodology and the proposed score function of interval …