Abstract
Forty-seven influential factors of green residential costs were identified in this study, and then four categories of respondents estimated their influential degrees through a questionnaire survey. In order to analyze these factors more accurately, a fuzzy factor analysis model (FFAM) was proposed while the classical one has often been affected by interference information. After calculating fuzzy eigenvalues, fuzzy correlation cofficients and factor loadings matrix in the model, eight different common factors were extracted. Finally, the author put forward several effective measures for controlling green residential costs based on these common factors.
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