Research on reliability evaluation of agricultural expert experience knowledge
Xiaopeng Dai, Donghui Li
Available Online November 2015.
- 10.2991/emeeit-15.2015.47How to use a DOI?
- Agricultural experts; Empirical knowledge; Evidence theory; Reliability evaluation
Agricultural expert experience highlights its advantages in the agricultural biological disaster forecast evaluation. Aiming at solving the expert experience fusion, this paper converted expert information into reliability probability density distribution, determined the evidence theory knowledge framework and basic probability distribution function based on the consistency definition and at the same time, the weight of each distribution is confirmed by using D-S synthesis rules. This paper ultimately obtained after-experience reliability level of fusion expert experiences in the agricultural production.
- © 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/).
Cite this article
TY - CONF AU - Xiaopeng Dai AU - Donghui Li PY - 2015/11 DA - 2015/11 TI - Research on reliability evaluation of agricultural expert experience knowledge BT - Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology PB - Atlantis Press SP - 232 EP - 237 SN - 2352-538X UR - https://doi.org/10.2991/emeeit-15.2015.47 DO - 10.2991/emeeit-15.2015.47 ID - Dai2015/11 ER -