Comparing Performance of Insurance Companies Using Artificial Intelligence through Multi-Criteria Decision-Making Methods

  • Neda Mohammad Pour Khabbazi Department of Social Communication Sciences, Islamic Azad University, Science And Research Branch , Tehran, Iran
  • Hanieyeh Taghizadeh Fashkache Faculty of Human Sciences, Islamic Azad University Sari Branch Campus, Sari, Iran
Keywords: Artificial Intelligence, Multi-Criteria Decision-Making, Performance, Insurance Industry

Abstract

The insurance industry is characterized by intense competition and evolving customer expectations. Traditional performance metrics often fall short in capturing the complexities of the industry. This research aims to leverage artificial intelligence (AI) and multi-criteria decision making (MCDM) to evaluate the performance of insurance companies comprehensively. By integrating financial, operational, and customer-centric data, we develop an AI-driven framework to extract relevant features and construct a decision matrix. Subsequently, MCDM techniques are employed to rank insurance companies based on multiple criteria. The findings contribute to a deeper understanding of insurance company performance and provide valuable insights for strategic decision-making.

Published
2024-07-28
How to Cite
Mohammad Pour Khabbazi, N., & Taghizadeh Fashkache, H. (2024). Comparing Performance of Insurance Companies Using Artificial Intelligence through Multi-Criteria Decision-Making Methods. International Journal of Sustainable Applied Science and Engineering, 1(1), 15-27. Retrieved from https://bgsiran.ir/journal/ojs-3.1.1-4/index.php/IJSASE/article/view/111
Section
Articles