• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Information Technology & Decision Making >Construction of an AI-Driven Risk Management Framework for Financial Service Firms Using the MRDM Approach
【24h】

Construction of an AI-Driven Risk Management Framework for Financial Service Firms Using the MRDM Approach

机译：使用MRDM方法建设金融服务公司的AI驱动风险管理框架

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The complex problem of risk factors has greatly increased globally due to the quick ever-changing digital era. The development of suitable techniques for facilitating the performance of risk management in the financial service domain is thus an urgent task, especially in today's highly turbulent business environment. The development of such techniques involves many factors like the classical multiple criteria decision-making (MCDM) problem, but too many factors surrounding the users will confuse them and lead to improper judgments. To deal with this critical task, this study proposes a fusion multiple rule-based decision-making (MRDM) approach that integrates a rule-based technique [i.e., the fuzzy rough set theory (FRST) with particle swarm optimization (PSO)] into MCDM (i.e., DEMATEL, DANP, and modified-VIKOR) techniques that can help decision makers choose the optimal model necessary for achieving aspiration-level effects in a risk control strategy. The results indicate that the improvement priority, which runs in the order as (a) AI algorithm model, (c) AI regulatory and compliance, (d) AI conduct, and (b) AI technology based on the magnitude of the impact, can effectively improve the performance of AI-driven risk management for financial service firms.
机译：None

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号