DocumentCode :
2287702
Title :
A commercial real estate investment analysis from CBR approach
Author :
Liu, Jia-Li ; Yan, Xiang-Bin
Author_Institution :
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear :
2009
fDate :
14-16 Sept. 2009
Firstpage :
1921
Lastpage :
1927
Abstract :
Commercial real estate investment analysis is very important for the commercial real estate industry, which is influenced by a series of complicated and various factors. Previous research emphasized on a certain part of the investment analysis, such as, commercial real estate´s market position, location, marketing strategy, risk control. Most of present works are to establish evaluation index system for investment analysis, which cannot give valuable suggestions before the investment project is proposed. In this paper, CBR method is adopted to support the investment analysis. Two feature attribute sets are set up to represent each commercial real estate investment case, and a case retrieval mechanism integrate with fuzzy-AHP is designed to search the similar case. In addition, the case-base has the ability of self-learning through case retaining and case updating. An example is provided to explain the feasibility and efficiency of the CBR system.
Keywords :
case-based reasoning; fuzzy set theory; investment; learning (artificial intelligence); real estate data processing; CBR approach; analytic hierarchy process; case retaining; case retrieval mechanism; case updating; case-based reasoning method; commercial real estate investment analysis; evaluation index system; fuzzy-AHP; marketing strategy; risk control; self-learning; Business; Conference management; Electrical equipment industry; Engineering management; Environmental economics; Humans; Investments; Risk analysis; Technology management; Unemployment; case representation; case-based reasoning; commercial real estate; fuzzy-AHP;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location :
Moscow
Print_ISBN :
978-1-4244-3970-6
Electronic_ISBN :
978-1-4244-3971-3
Type :
conf
DOI :
10.1109/ICMSE.2009.5317745
Filename :
5317745
Link To Document :
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