A commercial real estate investment analysis from CBR approach
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.