Paper
10 July 2009 Application of grey relational analysis to agricultural management decision-making
Yan Xie, Mu Li, Jiang-bo Sun, Fang Wang
Author Affiliations +
Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74902N (2009) https://doi.org/10.1117/12.836756
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
Abstract
Agricultural production has always been a matter of national politics and the important topic of the economy. Economic and social development of any country in the world must be built on agricultural labor productivity highly developed, so the development decision-making of agriculture is very important. In agricultural management decision-making, due to the uncertainty of the selection of evaluation indicators and its weight, the extent and scope of sustainable use and so on, it caused the individual to evaluate a number of useful information is often missing, thus affecting the reliability and accuracy of evaluation results. In this paper, the grey relational analysis is introduced to use to agricultural management decision-making. The result indicated that this method is credible, and can provide a new method and a possible new way for agricultural managers in decision-making.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yan Xie, Mu Li, Jiang-bo Sun, and Fang Wang "Application of grey relational analysis to agricultural management decision-making", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74902N (10 July 2009); https://doi.org/10.1117/12.836756
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Agriculture

Reliability

Communication engineering

Current controlled current source

Electrical engineering

Factor analysis

Laser induced breakdown spectroscopy

Back to Top