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Personalised Property Investment Risk Analysis Model in the Real Estate Industry

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Human-Centric Decision-Making Models for Social Sciences

Part of the book series: Studies in Computational Intelligence ((SCI,volume 502))

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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.

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Authors and Affiliations

  1. Decision Systems and e-Service Intelligence (DeSI) Lab, Quantum Computation and Intelligent Systems (QCIS) Centre, School of Software, Faculty of Engineering and Information Technology, University of Technology Sydney (UTS), PO Box 123, Broadway, NSW, Australia

    Nur Atiqah Rochin Demong, Jie Lu & Farookh Khadeer Hussain

  2. Center of Applied Management Studies, Faculty of Business Management, Universiti Teknologi MARA, Puncak Alam Campus, 42300 , Puncak Alam, Selangor, Malaysia

    Nur Atiqah Rochin Demong

Authors
  1. Nur Atiqah Rochin Demong
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  2. Jie Lu
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  3. Farookh Khadeer Hussain
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Correspondence to Jie Lu .

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Editors and Affiliations

  1. Faculty of Business Administration, Yokohama National University, Yokohama, Japan

    Peijun Guo

  2. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

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Demong, N.R., Lu, J., Hussain, F.K. (2014). Personalised Property Investment Risk Analysis Model in the Real Estate Industry. In: Guo, P., Pedrycz, W. (eds) Human-Centric Decision-Making Models for Social Sciences. Studies in Computational Intelligence, vol 502. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39307-5_15

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  • DOI: https://doi.org/10.1007/978-3-642-39307-5_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39306-8

  • Online ISBN: 978-3-642-39307-5

  • eBook Packages: EngineeringEngineering (R0)

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