![](/public/site/images/admin/AMA_1.png)
![](/public/site/images/admin/Open_Access1.png)
![](/public/site/images/admin/13.jpg)
![](/public/site/images/admin/22.jpg)
Study on health evaluation model of modern irrigation district project based on AHP-FCE
Vol 3, Issue 2, 2022
VIEWS - 55 (Abstract)
Abstract
Keywords
Full Text:
PDFReferences
1. Zhang F. Research on ERP Selection of Construction Enterprises Based on AHP-Grey Fuzzy Evaluation (Chinese) [Master’s thesis]. Beijing Jiaotong University; 2012.
2. Li F, Jia P, Zhang Y, Qi Q. Study on evaluation index system and evaluation method of regional water resources sustainable use (Chinese). Water Conservancy Science and Technology and Economy 2007; 11: 826–828.
3. Yang L, Wang N, Xie J, Jing X. Optimization of eco-environmental evaluation index in irrigation area based on multi-source information fusion decision (Chinese). Transactions of the Chinese Society of Agricultural Engineering 2015; 31(14): 225–231.
4. Li L, Yu J, Li H, et al. Study on comprehensive evaluation system of modernization of irrigation area based on AHP: A case study of Dongfengqu Irrigation area in Hubei Province (Chinese). Water Saving Irrigation 2020; 10 :96–100.
5. Chen J, Tang D. Evaluation of water demand in Tailan River irrigation area based on ANP-FCE method (Chinese). China Rural Water and Hydropower 2014; 3: 159–161+165.
6. Wang D. Study on Structure Composition Analysis and Modernization Evaluation of Large-Scale Irrigation Areas in China (Chinese) [Master’s thesis]. Hebei Agricultural University; 2014.
7. Xu X, Yang L, Wu Q, et al. Research on evaluation method of modern irrigation area based on variable fuzzy set (Chinese). China Rural Water and Hydropower 2018; 6: 128–132.
8. Wang X, Yuan X, Shi S. Situation and countermeasures of water saving and emission reduction in southern China: A case study of Jiangxi Province (Chinese). Yangtze River 2016; 47(S1): 9–12.
Refbacks
- There are currently no refbacks.
Copyright (c) 2022 Yao Zhang, Huaizhu Yao, Kai Fang, Jihui Ding, Jiahua Zhou, Shuangen Yu, Xiaoqin Sun
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
![](https://systems.enpress-publisher.com/public/site/images/admin/%E5%BE%AE%E4%BF%A1%E5%9B%BE%E7%89%87_20240124162354.png)
This site is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
![](/public/site/images/admin/Prof._Zhengjun_Qiu_1.jpg)
Prof. Zhengjun Qiu
Zhejiang University, China
![](/public/site/images/admin/Cheng_Sun_2.png)
Cheng Sun
Academician of World Academy of Productivity Science; Executive Chairman, World Confederation of Productivity Science China Chapter, China
This journal values human initiative and intelligence, and the employment of AI technologies to write papers that replace the human mind is expressly prohibited. When there is a suspicious submission that uses AI tools to quickly piece together and generate research results, the editorial board of the journal will reject the article, and all journals under the publisher's umbrella will prohibit all authors from submitting their articles.
Readers and authors are asked to exercise caution and strictly adhere to the journal's policy regarding the usage of Artificial Intelligence Generated Content (AIGC) tools.