Research on the Evaluation Selection Ecological Civilization Based on Fuzzy Evaluation and Linear Regression
- DOI
- 10.2991/msie-13.2013.44How to use a DOI?
- Keywords
- ecological civilization, data survey, damage factors, fuzzy evaluation
- Abstract
Ecological civilization is the industrialized countries’ reflection and criticism of industrial civilization development model since mid-twentieth century. It emphasizes that we should treat the nature with the civilization and rational attitude and opposes the extensive use of resources. Walking the road of ecological civilization is the trend of the civilization development of the world . This paper processes the investigation of the ecological problems through the linear regression theory .It judges ecological civilization using multiple linear regression and fuzzy evaluation method and studies influence of various factors on the ecological civilization evaluation. Research shows that the ecological damage factors include extensive use of steel and building materials and excessive discharge of waste. The comprehensive evaluation results show that China's ecological damage is more serious. Therefore, We suggestes to establish ecological civilization concept which is respect nature, conform to the nature and protect the nature in the serious problems such as resource constraints ,serious environmental pollution and ecological deterioration of the situation. China will integrated ecological civilization into the modernization of China's construction, built the beautiful Chinese and realised the sustainable development of China.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xuzhe He PY - 2013/11 DA - 2013/11 TI - Research on the Evaluation Selection Ecological Civilization Based on Fuzzy Evaluation and Linear Regression BT - Proceedings of the 2nd International Conference on Management Science and Industrial Engineering PB - Atlantis Press SP - 207 EP - 211 SN - 1951-6851 UR - https://doi.org/10.2991/msie-13.2013.44 DO - 10.2991/msie-13.2013.44 ID - He2013/11 ER -