Entropy Method in the Rank of Attributes of Property Value

Ge, J; Lam, KY; Lam, K

Entropy Method in the Rank of Attributes of Property Value

Ge, J

Lam, KY Lam, K

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Publisher:: Taylor & Francis Group
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 3rd International Structural Engineering and Construction Conference, 2005, pp. 497 - 503
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Ge, J https://orcid.org/0000-0002-2252-7829	en_US
dc.contributor.author	Lam, KY	en_US
dc.contributor.author	Lam, K	en_US
dc.contributor.editor	Hara, T	en_US
dc.date	2005-09-20	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Proceedings of the 3rd International Structural Engineering and Construction Conference, 2005, pp. 497 - 503	en_US
dc.identifier.isbn	0-415-39037-0	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11314
dc.description.abstract	Property values are affected by various factors. It is difficult to determine which attributes contribute more than others. This paper applies Entropy method to find out which attributes affect property values more significantly in the Hong Kong residential housing market. The priority of the possible attributes of property values are ranked by weight. This study starts with a review of the basic theory of Entropy and followed by the mathematical algorithm. Next section develops a procedure for the empirical studies. Firstly, data collections and quantification are explained. Secondly, the data scaling is described and followed by ranking the results. Reasonable assumptions are made to quantify the data and the degrees of importance of the attributes are identified. Finally, the three groups of ranked attributes are tested by the artificial neural network (ANN) models. The results suggest that the priority of the ranked attributes is significant and effective.	en_US
dc.publisher	Taylor & Francis Group	en_US
dc.relation.ispartof	Proceedings of the 3rd International Structural Engineering and Construction Conference	en_US
dc.relation.ispartof	Structural Engineering and Construction Conference	en_US
dc.title	Entropy Method in the Rank of Attributes of Property Value	en_US
dc.type	Conference Proceeding
utslib.location	London, UK	en_US
utslib.location.activity	Shunan, Japan	en_US
utslib.for	0905 Civil Engineering	en_US
dc.location.activity	Shunan, Japan	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.place-of-publication	London, UK	en_US
pubs.start-date	2005-09-20	en_US

Abstract:

Property values are affected by various factors. It is difficult to determine which attributes contribute more than others. This paper applies Entropy method to find out which attributes affect property values more significantly in the Hong Kong residential housing market. The priority of the possible attributes of property values are ranked by weight. This study starts with a review of the basic theory of Entropy and followed by the mathematical algorithm. Next section develops a procedure for the empirical studies. Firstly, data collections and quantification are explained. Secondly, the data scaling is described and followed by ranking the results. Reasonable assumptions are made to quantify the data and the degrees of importance of the attributes are identified. Finally, the three groups of ranked attributes are tested by the artificial neural network (ANN) models. The results suggest that the priority of the ranked attributes is significant and effective.

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http://hdl.handle.net/10453/11314