Risk Management Techniques

Rowedah Hussien, Hafeth Naji, Ehsan Kareem and Ehsan Ali Al-Zubaidi

A chapter in Strategic Management - a Dynamic View from IntechOpen

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).

Keywords: risk; risk management; techniques; classification; neural network (search for similar items in EconPapers)
JEL-codes: M10 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:ito:pchaps:175541

DOI: 10.5772/intechopen.85801

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