Irrigation Decision-making Methods Based on Multi-source Irrigation Information Fusion

DOI

10.2991/icaees-15.2015.189How to use a DOI?

Keywords

fuzzy rough sets; Dempster-Shafer evidential theory; uncertain information; multi-source information fusion; weight coefficient

Abstract

According to the problem that uncertainty information is difficult to be merged during the decision process of multi-source irrigation information, a fusion method based on fuzzy rough sets and D-S evidence theory was proposed. Using the fuzzy rough set theory, the basic probability assignment function (BPAF) was established, the interdependence between irrigation factors and irrigation decision was calculated, and the frame of discernment was built. Using the improved Dempster-Shafer (D-S) evidence theory, the multi-source irrigation information was fused at the decision-making level, the expression and synthesis problems of uncertain information were solved. The information of cotton, such as CWSI, soil moisture, and stomatal conductance, were fused in irrigation decision. The results showed that the uncertainty of the irrigation decision decreases from 39.0% before fusion to 6.57%. The method could effectively improve the accuracy and reduce the uncertainty of irrigation decision making.

Copyright

© 2015, 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/).

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TY  - CONF
AU  - Zhifang Chen
AU  - Jinglei Wang
AU  - Jingsheng Sun
AU  - Ni Song
AU  - Xiaolei Wu
PY  - 2015/07
DA  - 2015/07
TI  - Irrigation Decision-making Methods Based on Multi-source Irrigation Information Fusion
BT  - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
PB  - Atlantis Press
SP  - 1025
EP  - 1034
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaees-15.2015.189
DO  - 10.2991/icaees-15.2015.189
ID  - Chen2015/07
ER  -