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Risk Management Techniques

In: Strategic Management - a Dynamic View

Author

Listed:
  • Rowedah Hussien
  • Hafeth Naji
  • Ehsan Kareem
  • Ehsan Ali Al-Zubaidi

Abstract

The importance of risk management has been increasing for a lot of construction projects in different industries, and thus risk management department must be established to monitor the risks. The construction industry and its managers are exposed to a high degree of risk that leads to increasing the cost or delay in the projects. Therefore, there must be techniques used to control the risk and determine the best method to respond to it. Artificial intelligence and its techniques will be described includes the principle of and its advantages, types and the techniques that used for the classification that includes, decision tree and K-star, neural network and support vector machine and simulation techniques like system dynamic and also using optimization techniques, Particle swarm, Gravitational Search Algorithm as follows: Classification (decision tree, K-star, neural network, support vector. Machine and).

Suggested Citation

  • Rowedah Hussien & Hafeth Naji & Ehsan Kareem & Ehsan Ali Al-Zubaidi, 2019. "Risk Management Techniques," Chapters, in: Okechukwu Lawrence Emeagwali & Hasan Yousef Yousef Aljuhamni (ed.), Strategic Management - a Dynamic View, IntechOpen.
    • Handle: RePEc:ito:pchaps:175541
    DOI: 10.5772/intechopen.85801
    as

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    More about this item

    Keywords

    risk; risk management; techniques; classification; neural network;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General

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