Research on the Evaluation of Low Carbon Economic Development by Fuzzy Algorithm
The global economy has entered the era of rapid industrialization, especially in developing countries; however, under the dual constraints of resources and environment, the extensive economic growth mode will probably seriously affect the process of China's industrialization and modernization....
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
IFSA Publishing, S.L.
2013-11-01
|
Series: | Sensors & Transducers |
Subjects: | |
Online Access: | http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1567.pdf |
id |
doaj-ad28667e212e4fb59d7cdb8dcc2c6abe |
---|---|
record_format |
Article |
spelling |
doaj-ad28667e212e4fb59d7cdb8dcc2c6abe2020-11-25T01:35:12ZengIFSA Publishing, S.L.Sensors & Transducers2306-85151726-54792013-11-0115911249254Research on the Evaluation of Low Carbon Economic Development by Fuzzy AlgorithmWang Fan0Economics and Management School, Changchun University of Science and Technology, Chang Chun 130022, ChinaThe global economy has entered the era of rapid industrialization, especially in developing countries; however, under the dual constraints of resources and environment, the extensive economic growth mode will probably seriously affect the process of China's industrialization and modernization. To keep a balance between industrialization and environment and energy requirements, the development of low-carbon economy is an inevitable strategic choice. Through practical algorithm application, we are trying to verify the rationality and validity of fuzzy algorithm in the evaluation of low carbon economic development level. Model evaluation results can not only classify the low carbon industries, but also demonstrate the relationship among different industrial indexes. http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1567.pdfLow-carbon economicFuzzy algorithmEvaluation index system. |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wang Fan |
spellingShingle |
Wang Fan Research on the Evaluation of Low Carbon Economic Development by Fuzzy Algorithm Sensors & Transducers Low-carbon economic Fuzzy algorithm Evaluation index system. |
author_facet |
Wang Fan |
author_sort |
Wang Fan |
title |
Research on the Evaluation of Low Carbon Economic Development by Fuzzy Algorithm |
title_short |
Research on the Evaluation of Low Carbon Economic Development by Fuzzy Algorithm |
title_full |
Research on the Evaluation of Low Carbon Economic Development by Fuzzy Algorithm |
title_fullStr |
Research on the Evaluation of Low Carbon Economic Development by Fuzzy Algorithm |
title_full_unstemmed |
Research on the Evaluation of Low Carbon Economic Development by Fuzzy Algorithm |
title_sort |
research on the evaluation of low carbon economic development by fuzzy algorithm |
publisher |
IFSA Publishing, S.L. |
series |
Sensors & Transducers |
issn |
2306-8515 1726-5479 |
publishDate |
2013-11-01 |
description |
The global economy has entered the era of rapid industrialization, especially in developing countries; however, under the dual constraints of resources and environment, the extensive economic growth mode will probably seriously affect the process of China's industrialization and modernization. To keep a balance between industrialization and environment and energy requirements, the development of low-carbon economy is an inevitable strategic choice. Through practical algorithm application, we are trying to verify the rationality and validity of fuzzy algorithm in the evaluation of low carbon economic development level. Model evaluation results can not only classify the low carbon industries, but also demonstrate the relationship among different industrial indexes.
|
topic |
Low-carbon economic Fuzzy algorithm Evaluation index system. |
url |
http://www.sensorsportal.com/HTML/DIGEST/november_2013/PDF_vol_159/P_1567.pdf |
work_keys_str_mv |
AT wangfan researchontheevaluationoflowcarboneconomicdevelopmentbyfuzzyalgorithm |
_version_ |
1725067848599994368 |