Analysis of Factors Affecting Green Residential Building Costs Based on Fuzzy Factor Analysis Model

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.

Download Full-text

Analysis of Factors Affecting Safety Management of Construction Site Based on Fuzzy Factor Analysis Model

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.753-755.1862 ◽

2013 ◽

Vol 753-755 ◽

pp. 1862-1867 ◽

Cited By ~ 1

Author(s):

Long Jiang Shen ◽

Suo Shi

Keyword(s):

Factor Analysis ◽

Safety Management ◽

Common Factors ◽

Correlation Coefficients ◽

Construction Safety ◽

Influential Factors ◽

Analysis Model ◽

Factor Analysis Model ◽

Factors Affecting ◽

Fuzzy Correlation

Thirty-nine influential factors of construction safety are identified in this study, and then five categories of respondents estimate their influential degrees through a questionnaire survey. In order to analyze these factors more accurately, a fuzzy factor analysis model (FFAM) is proposed. After calculating fuzzy eigenvalue, fuzzy correlation coefficients and factor loadings matrix in the model, seven different common factors are extracted. Finally, the author put forward several effective measures for improving construction safety based on these common factors.

Download Full-text

Study on the Influencing Factors of Electricity Saving Behavior

Scientific and Social Research ◽

10.36922/ssr.v2i1.922 ◽

2020 ◽

Vol 2 (1) ◽

Author(s):

Haobo Zhang ◽

Jia Tang ◽

Peng Chen

Keyword(s):

Factor Analysis ◽

Influencing Factors ◽

Electricity Consumption ◽

Common Factors ◽

Analysis Model ◽

Factor Analysis Model ◽

Electricity Cost ◽

The Common ◽

Saving Behavior ◽

Electricity Saving

In order to explore the influencing factors of electricity-saving behavior, based on the survey data of residents' electricity consumption habits in some areas of Sichuan province, SPSS was used to analyze the differences of different electricity-saving behaviors. And then we establish factor analysis model, induce and extract the common factors that affect the electricity saving behavior. The results show that there are significant differences between psychological cost, behavioral cost, lack of relevant knowledge and electricity cost. They are three common factors that affect the implementation of electricity saving behavior, and the cumulative explainable rate is 52.302%.

Download Full-text

Analysis of Management Costs of Waste Organization and Identification of Factors Affecting Them with a Factor Analysis Model in One of the Northern Cities of Iran

Journal of Hazardous Toxic and Radioactive Waste ◽

10.1061/(asce)hz.2153-5515.0000678 ◽

2022 ◽

Vol 26 (2) ◽

Author(s):

Zahra Kazemi ◽

Ahmad Jonidi Jafari ◽

Ehsan Kazemnezhad Leyli ◽

Zohre Kazemi

Keyword(s):

Factor Analysis ◽

Analysis Model ◽

Factor Analysis Model ◽

Factors Affecting ◽

Northern Cities

Download Full-text

An Entropy-Based Tool to Help the Interpretation of Common-Factor Spaces in Factor Analysis

Entropy ◽

10.3390/e23020140 ◽

2021 ◽

Vol 23 (2) ◽

pp. 140

Author(s):

Nobuoki Eshima ◽

Claudio Giovanni Borroni ◽

Minoru Tabata ◽

Takeshi Kurosawa

Keyword(s):

Factor Analysis ◽

Correlation Analysis ◽

Canonical Correlation ◽

Common Factor ◽

Common Factors ◽

Correlation Coefficients ◽

Analysis Model ◽

Factor Analysis Model ◽

Numerical Examples ◽

The Common

This paper proposes a method for deriving interpretable common factors based on canonical correlation analysis applied to the vectors of common factors and manifest variables in the factor analysis model. First, an entropy-based method for measuring factor contributions is reviewed. Second, the entropy-based contribution measure of the common-factor vector is decomposed into those of canonical common factors, and it is also shown that the importance order of factors is that of their canonical correlation coefficients. Third, the method is applied to derive interpretable common factors. Numerical examples are provided to demonstrate the usefulness of the present approach.

Download Full-text