Development of Decision Support System for House Evaluation and Purchasing
Home is important for Chinese people. Because the
information regarding the house attributes and surrounding
environments is incomplete in most real estate agency, most house
buyers are difficult to consider the overall factors effectively and only
can search candidates by sorting-based approach. This study aims to
develop a decision support system for housing purchasing, in which
surrounding facilities of each house are quantified. Then, all
considered house factors and customer preferences are incorporated
into Simple Multi-Attribute Ranking Technique (SMART) to support
the housing evaluation. To evaluate the validity of proposed approach,
an empirical study was conducted from a real estate agency. Based on
the customer requirement and preferences, the proposed approach can
identify better candidate house with consider the overall house
attributes and surrounding facilities.
[1] L. Y. Lin, and C. H. Huang, "An Integrated Information System for Real
Estate Agency Based on Service-Oriented Architecture," IEEE
International Symposium on Service-Oriented System Engineering, pp.
184-189, Dec. 2008.
[2] Q. Z. Thomas, and Q. M. Zhou, "Optimal Spatial Decision Making Using
GIS: a Prototype of a Real Estate Geographical Information System
(REGIS)," International Journal of Geographical Information Science,
vol. 15, pp. 307-321, Jun. 2001.
[3] M. L. Chou, and C. O. Chang, "Influential Factors of Home Buyers-
Search Duration," Management Rev., vol. 24, pp. 133-150, 2004.
[4] R. W. Sinnott, "Virtues of the Haversine," Sky and Telescope, vol. 68, no.
2, pp. 159, 1984.
[5] Y. M. Wang, and C. Parkan, "Multiple Attribute Decision Making Based
on Fuzzy Preference Information on Alternatives: Ranking and
Weighting," Fuzzy Sets and Syst., vol. 153, pp.331-346, Aug. 2005.
[6] F. H. Barron, and B. E. Barrett, "The Efficacy of SMARTER-Simple
Multi-Attribute Rating Technique Extended to Ranking," Acta
Psychologica, vol. 93, pp. 23-36, 1996.
[7] W. Edwards," How to use Multiattribute Utility Theory for Social
Decision Making," IEEE Trans. on Systems, Man, and Cybern., vol. 7, pp.
326-340, 1997.
[8] C. F. Chien, Decision Analysis and Management (Book style), Taiwan:
Yeh Yeh Book, 2005, pp. 179-219.
[9] P. Kim, "Development of Spatial Decision Support Systems for
Residential Real Estate," Journal of Housing Research, vol.9, pp.
135-136, 1998.
[10] S. K. Chung, and G. Tor, "Selecting DSS Evaluation Methods," Journal
of Information Technology Management, vol. 3, pp. 29-37, 1992.
[11] E. K. Zavadskas, A. Kaklauskas, and A. Banaitis, "Real Estate-s
Knowledge and Device- Based Decision Support System," International
Journal of Strategic Property Management, vol. 14, pp. 271-282, 2010.
[12] G. Shi, and K. Barker, "Thematic Data Extraction from Web for GIS and
Applications," Spatial Data Mining and Geographical Knowledge
Services, pp. 273-278, 2011.
[13] S. R. Ahmed, "Applications of Data Mining in Retail Business," Int. Conf.
Information Technology: Coding and Computing, vol.2, pp. 455-459,
Apr. 2004.
[14] Q. P. Xiao, M. C. Fu, G. J. Wang, and J. J. Zhang, "House Site Selection
Decision Support System Based on ArcGIS," Int. Conf. Management and
Service Science, pp. 1-4, Sept. 2009.
[1] L. Y. Lin, and C. H. Huang, "An Integrated Information System for Real
Estate Agency Based on Service-Oriented Architecture," IEEE
International Symposium on Service-Oriented System Engineering, pp.
184-189, Dec. 2008.
[2] Q. Z. Thomas, and Q. M. Zhou, "Optimal Spatial Decision Making Using
GIS: a Prototype of a Real Estate Geographical Information System
(REGIS)," International Journal of Geographical Information Science,
vol. 15, pp. 307-321, Jun. 2001.
[3] M. L. Chou, and C. O. Chang, "Influential Factors of Home Buyers-
Search Duration," Management Rev., vol. 24, pp. 133-150, 2004.
[4] R. W. Sinnott, "Virtues of the Haversine," Sky and Telescope, vol. 68, no.
2, pp. 159, 1984.
[5] Y. M. Wang, and C. Parkan, "Multiple Attribute Decision Making Based
on Fuzzy Preference Information on Alternatives: Ranking and
Weighting," Fuzzy Sets and Syst., vol. 153, pp.331-346, Aug. 2005.
[6] F. H. Barron, and B. E. Barrett, "The Efficacy of SMARTER-Simple
Multi-Attribute Rating Technique Extended to Ranking," Acta
Psychologica, vol. 93, pp. 23-36, 1996.
[7] W. Edwards," How to use Multiattribute Utility Theory for Social
Decision Making," IEEE Trans. on Systems, Man, and Cybern., vol. 7, pp.
326-340, 1997.
[8] C. F. Chien, Decision Analysis and Management (Book style), Taiwan:
Yeh Yeh Book, 2005, pp. 179-219.
[9] P. Kim, "Development of Spatial Decision Support Systems for
Residential Real Estate," Journal of Housing Research, vol.9, pp.
135-136, 1998.
[10] S. K. Chung, and G. Tor, "Selecting DSS Evaluation Methods," Journal
of Information Technology Management, vol. 3, pp. 29-37, 1992.
[11] E. K. Zavadskas, A. Kaklauskas, and A. Banaitis, "Real Estate-s
Knowledge and Device- Based Decision Support System," International
Journal of Strategic Property Management, vol. 14, pp. 271-282, 2010.
[12] G. Shi, and K. Barker, "Thematic Data Extraction from Web for GIS and
Applications," Spatial Data Mining and Geographical Knowledge
Services, pp. 273-278, 2011.
[13] S. R. Ahmed, "Applications of Data Mining in Retail Business," Int. Conf.
Information Technology: Coding and Computing, vol.2, pp. 455-459,
Apr. 2004.
[14] Q. P. Xiao, M. C. Fu, G. J. Wang, and J. J. Zhang, "House Site Selection
Decision Support System Based on ArcGIS," Int. Conf. Management and
Service Science, pp. 1-4, Sept. 2009.
@article{"International Journal of Information, Control and Computer Sciences:61493", author = "Chia-Yu Hsu and Julaimin Goh and Pei-Chann Chang", title = "Development of Decision Support System for House Evaluation and Purchasing", abstract = "Home is important for Chinese people. Because the
information regarding the house attributes and surrounding
environments is incomplete in most real estate agency, most house
buyers are difficult to consider the overall factors effectively and only
can search candidates by sorting-based approach. This study aims to
develop a decision support system for housing purchasing, in which
surrounding facilities of each house are quantified. Then, all
considered house factors and customer preferences are incorporated
into Simple Multi-Attribute Ranking Technique (SMART) to support
the housing evaluation. To evaluate the validity of proposed approach,
an empirical study was conducted from a real estate agency. Based on
the customer requirement and preferences, the proposed approach can
identify better candidate house with consider the overall house
attributes and surrounding facilities.", keywords = "decision support system, real estate, decision analysis,
housing evaluation, SMART", volume = "6", number = "5", pages = "685-6", }