Compared with ordinary commercial products, housing has many special characteristics including the multi-function characteristic. How to evaluate the multi-functional nature of housing is very useful in both theory an...Compared with ordinary commercial products, housing has many special characteristics including the multi-function characteristic. How to evaluate the multi-functional nature of housing is very useful in both theory and in application, yet it is often ignored in China. This paper introduces an approach to estimate the multicriteria function of housing using multiattribute utility theory (MAUT) based on consumers’ ordinal multicriteria preferences as determined via questionnaires. When compared with the classic framework in which MAUT is applied, this approach needs less prior information and subjective comparisons and thus can allay many of the operational difficulties involved in assessment. Some potential applications to the China housing market are also discussed.展开更多
Multiattribute utility theory is a powerful theory tool to reveal the preferences of the consumers according to multiple attribute points of view. Utility additive (UTA) method based on Multiattribute utility theory i...Multiattribute utility theory is a powerful theory tool to reveal the preferences of the consumers according to multiple attribute points of view. Utility additive (UTA) method based on Multiattribute utility theory is an ordinal regression method using linear programming. The purpose of the UTA method presented in this paper is to assess additive utility functions that aggregate multiple attributes in a composite attribute. The results of it are important for the study of consumer behavior. Finally, a simple illustrative example is presented and some extensions of the method are proposed.展开更多
文摘Compared with ordinary commercial products, housing has many special characteristics including the multi-function characteristic. How to evaluate the multi-functional nature of housing is very useful in both theory and in application, yet it is often ignored in China. This paper introduces an approach to estimate the multicriteria function of housing using multiattribute utility theory (MAUT) based on consumers’ ordinal multicriteria preferences as determined via questionnaires. When compared with the classic framework in which MAUT is applied, this approach needs less prior information and subjective comparisons and thus can allay many of the operational difficulties involved in assessment. Some potential applications to the China housing market are also discussed.
文摘Multiattribute utility theory is a powerful theory tool to reveal the preferences of the consumers according to multiple attribute points of view. Utility additive (UTA) method based on Multiattribute utility theory is an ordinal regression method using linear programming. The purpose of the UTA method presented in this paper is to assess additive utility functions that aggregate multiple attributes in a composite attribute. The results of it are important for the study of consumer behavior. Finally, a simple illustrative example is presented and some extensions of the method are proposed.