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Personalised Property Investment Risk Analysis Model in the Real Estate Industry

  • Nur Atiqah Rochin Demong
  • Jie Lu
  • Farookh Khadeer Hussain
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 502)

Abstract

Property investment in the real estate industry entails high cost and high risk, but provides high yield for return on investment. Risk factors in the real estate industry are mostly uncertain and change dynamically with the surrounding developments. There are many existing risk analysis tools or techniques that help investors to find better solutions. Most techniques available refer to expert’s opinions in ranking and weighting the risk factors. As a result, they create misinterpretation and varying judgments from the experts. In addition, investment purposes differ between investors for both commercial and residential properties. There is therefore a need for personalisation elements to enable investors to interact with the analysis. This chapter presents a personalised risk analysis model that enables investors to analyse the risk of their property investments and make correct decisions. The model has three main components: investor, decision support technologies, and the data. Real world data from the Australian real estate industry is used to validate the proposed model.

Keywords

Risk analysis Personalisation Decision under uncertainty Real estate industry Property investment Heuristic 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Nur Atiqah Rochin Demong
    • 1
    • 2
  • Jie Lu
    • 1
  • Farookh Khadeer Hussain
    • 1
  1. 1.Decision Systems and e-Service Intelligence (DeSI) Lab, Quantum Computation and Intelligent Systems (QCIS) Centre, School of Software, Faculty of Engineering and Information TechnologyUniversity of Technology Sydney (UTS)BroadwayAustralia
  2. 2.Center of Applied Management StudiesFaculty of Business Management, Universiti Teknologi MARAPuncak AlamMalaysia

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