Fuzzy Rule Based Risk Evaluation Model For Real Estate Investments
Risk evaluation has been an important task for real estate investments in uncertain economic conditions. Fuzzy rule based systems (FRBS) have been the most popular and easiest way to capture and represent fuzzy, vague, imprecise and uncertain domain knowledge. This study proposes a fuzzy rule based risk evaluation model for real estate investments. The proposed model uses fuzzy IF-THEN rules to determine a mapping from fuzzy sets in the input universe of discourse to fuzzy sets in the output universe of discourse based on fuzzy logic principles. In this study, the rule base of the model combines the factors of price, location, technical characteristics of a real estate with general economical factors of market.
Real Estate valuation risk assessment fuzzy logic rule based system
Alp Ustundag Emre Cevikcan Mehmet Serdar Kilinc
Department of Industrial Engineering, Istanbul Technical University, Macka, Istanbul,34367, Turkey
国际会议
The 2nd International Conference on Risk Analysis and Crisis Response(第二届风险分析与危机反应国际学术研讨会)
北京
英文
130-135
2009-10-19（万方平台首次上网日期，不代表论文的发表时间）