A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data is popular PDF and ePub book, written by Dan-Ping Li in 2024-09-30, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data can be Read Online from any device for your convenience.
A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data Book PDF Summary
The financial risk not only affects the development of the company itself, but also affects the economic development of the whole society; therefore, the financial risk assessment of company is an important part. At present, numerous methods of financial risk assessment have been researched by scholars. However, most of the extant methods neither integrated fuzzy sets with quantitative analysis, nor took into account the historical data of the past few years. To settle these defects, this paper proposes a novel financial risk assessment model for companies based on heterogeneous multiple-criteria decision-making (MCDM) and historical data.
Detail Book of A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data PDF
- Author : Dan-Ping Li
- Release : 30 September 2024
- Publisher : Infinite Study
- ISBN : 978186723xxxx
- Genre : Mathematics
- Total Page : 25 pages
- Language : English
- PDF File Size : 16,9 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book A novel financial risk assessment model for companies based on heterogeneous information and aggregated historical data by Dan-Ping Li, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.