Abstract
In order to improve the reliability of alternative ranking and group consensus adaptively, this paper develops an automatically interactive group decision-making (GDM) framework under the VIKOR environment. The proposed framework contains an interaction network mechanism based on social network analysis (SNA) and an opinion interaction mechanism based on Brain Strom Optimization (BSO) algorithm. Firstly, to connect isolated decision-makers (DMs), interaction relationships among DMs are built based on the SNA and similarity measurement. Secondly, the BSO algorithm is introduced to design the opinion interaction mechanism, including subgroup identification model and preference iteration model. The preference iteration model contains an adaptive preference update rule (UR), iteration stop rule (ISR), and solution selection rule (SSR) to enhance group consensus adaptively rather than force DMs to change the preference. Thirdly, the proposed interactive group VIKOR (G-VIKOR) method is applied in SARS-cov-2 nucleic acid detection sites evaluation. Finally, consistency and comparison analysis are developed to illustrate the validity and robustness of evaluation results.
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