Research on reliability evaluation of agricultural expert experience knowledge

DOI

10.2991/emeeit-15.2015.47How to use a DOI?

Keywords

Agricultural experts; Empirical knowledge; Evidence theory; Reliability evaluation

Abstract

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.

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  - 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  -