Abstract
House purchasing is an important decision. Customers usually search house information such as total house price, purchasing ability, location and house size through the websites of agency. However the information regarding the house attributes and surrounding environments is incomplete in most real estate agency, customers are difficult to consider the overall factors effectively and only can search candidates by sorting-based approach. This study aims to develop an intelligent decision model for house evaluation, in which information of customer preference, house attributes and house facilities, total price are integrated into house value and purchasing cost simultaneously. A case study was conducted to evaluate the validity of this study. The result demonstrated that the proposed approach can capture ideal candidate house for customer than Simple Multi-Attribute Ranking Technique (SMART).
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References
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Acknowledgments
This research is appreciatively supported by National Science Council, Taiwan (NSC99-2622-E-007-015-CC3; NSC 100-2410-H-155-048) and Ministry of Economic Affairs, Taiwan (102-E0616).
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© 2014 Springer International Publishing Switzerland
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Hsu, CY., Goh, J., Chang, PC. (2014). Intelligent Decision Model of House Evaluation. In: Juang, J., Chen, CY., Yang, CF. (eds) Proceedings of the 2nd International Conference on Intelligent Technologies and Engineering Systems (ICITES2013). Lecture Notes in Electrical Engineering, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-04573-3_52
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DOI: https://doi.org/10.1007/978-3-319-04573-3_52
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04572-6
Online ISBN: 978-3-319-04573-3
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