Proceedings of the 3d International Conference on Applied Social Science Research

Research on key stakeholder identification of agricultural development project based on fuzzy inference system

Authors
Qian Zhu, Zhig-ao Liao, Jun-li Wang
Corresponding Author
Qian Zhu
Available Online August 2016.
DOI
10.2991/icassr-15.2016.146How to use a DOI?
Keywords
key stakeholders; fuzzy inference system; identification
Abstract

Project stakeholders are individuals or organizations that are closely related to the project. In agricultural development projects, there are multiple stakeholders that have complex interests. It is necessary to recognition the key stakeholders correctly and understand the role and power of the key stakeholders in agricultural development projects. This paper was firstly applied fuzzy inference system to identify the key stakeholders in agricultural development project, and put forward the appropriate management strategy to ensure the success of agricultural development project.

Copyright
© 2016, 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 3d International Conference on Applied Social Science Research
Series
Advances in Intelligent Systems Research
Publication Date
August 2016
ISBN
10.2991/icassr-15.2016.146
ISSN
1951-6851
DOI
10.2991/icassr-15.2016.146How to use a DOI?
Copyright
© 2016, 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  - Qian Zhu
AU  - Zhig-ao Liao
AU  - Jun-li Wang
PY  - 2016/08
DA  - 2016/08
TI  - Research on key stakeholder identification of agricultural development project based on fuzzy inference system
BT  - Proceedings of the 3d International Conference on Applied Social Science Research
PB  - Atlantis Press
SP  - 519
EP  - 522
SN  - 1951-6851
UR  - https://doi.org/10.2991/icassr-15.2016.146
DO  - 10.2991/icassr-15.2016.146
ID  - Zhu2016/08
ER  -