Abstract
The register of real estate sold price can successfully inhibit investors from speculating illegally on the real estate market. Due to the advantages of conference and confidentiality of traditional questionnaires, the purpose of this study aims to investigate and compare the various factors that influence the sold price of real estate by means of Fuzzy Delphi Method. In addition, various professionals, including real estate marketers, university professors and relevant government officials, take part in the questionnaire for our analysis.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Luo, HS., Tesng, KH. (2019). Applying Information Quantity Analysis to Sold Price of Real Estate. In: Chen, JL., Pang, AC., Deng, DJ., Lin, CC. (eds) Wireless Internet. WICON 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 264. Springer, Cham. https://doi.org/10.1007/978-3-030-06158-6_25
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DOI: https://doi.org/10.1007/978-3-030-06158-6_25
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