An Exploration of Provincial Low-Carbon Economy Evaluation System Based on Principal Component-Variable Fuzzy Evaluation
2013 ◽
Vol 291-294
◽
pp. 1562-1567
Keyword(s):
According to indicators’ information repetition and subjectivity of the indicators’ weight set during the variable fuzzy comprehensive evaluation, Principal Component analysis can help solve the weight of the relative indicators and reduce comprehensive evaluation dimensions of the variable fussy comprehensive evaluation. This paper has made a comprehensive evaluation of the status quo of Yunnan’s low carbon economy development(2005-2009), which turns out to be more practical compared with the mere variable fussy theory analysis, thus, principal component-variable fuzzy evaluation is a kind of feasible way to analyze the regional low carbon development status.
2011 ◽
Vol 66-68
◽
pp. 631-636
2011 ◽
Vol 71-78
◽
pp. 2458-2464
Keyword(s):
2013 ◽
Vol 662
◽
pp. 999-1004
2014 ◽
Vol 962-965
◽
pp. 2347-2350
◽
Keyword(s):
2013 ◽
Vol 448-453
◽
pp. 4514-4519
2010 ◽
Vol 1
(4)
◽
pp. 57-64