Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology

Research on reliability evaluation of agricultural expert experience knowledge

Authors
Xiaopeng Dai, Donghui Li
Corresponding Author
Xiaopeng Dai
Available Online November 2015.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2015 International conference on Engineering Management, Engineering Education and Information Technology
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-121-6
ISSN
2352-538X
DOI
https://doi.org/10.2991/emeeit-15.2015.47How to use a DOI?
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/).

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  - https://doi.org/10.2991/emeeit-15.2015.47
ID  - Dai2015/11
ER  -