Xiangrui Chao

TL;DR: This paper surveys existing researches and methodologies on assessment and measurement of financial systemic risk combined with machine learning technologies, including big data analysis, network analysis and sentiment analysis, etc.

TL;DR: The results showed that the proposed consensus model can integrate opinions of participants using diverse preference formats and reach an agreement efficiently, and was proven by theoretical and simulation analyses.

TL;DR: This work presents the taxonomy of existing distributed linguistic representations, and reviews the key elements and applications of distributed linguistic information processing in decision making, including the distance measurement, aggregation methods, distributed linguistic preference relations, and distributed linguistic multiple attribute decision making models.

TL;DR: Wang et al. as mentioned in this paper established a monitoring method including accurate recognition and classified supervision for trade-based money laundering by means of knowledge-driven multi-class classification algorithms associated with macro and micro prudential regulation, such that the model can forecast the predicted class from the concerned management areas.

TL;DR: A new ranking method for large-scale Go players by means of incomplete fuzzy pair-wise comparison matrix whose priority vector is derived using a cosine similarity measure is proposed.