Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Study about Logistics Service Project Evaluation Based on Information Granularity of Rough Sets

Authors
Jie Wu1, Dun Liu, Qiyuan Peng
1School of Economics & Management, Southwest Jiaotong University
Corresponding Author
Jie Wu
Available Online October 2007.
DOI
10.2991/iske.2007.120How to use a DOI?
Keywords
Rough Sets, granularity theory, attribute refine, 3PLs’project management (PM).
Abstract

Logistics service project evaluation is a key step in project management. The evaluation tasks are not only covered by the whole project process, but also are perceived by characteristic of logistics service. According to project management’s hierarchical approach, we propose two evaluations in the theory of Rough Sets with different information granularities. So the decision maker can deal with multi-levels and multi-target by two series of rules. A case study is to support the hierarchical theory with the true data of one Third Part Logistics.

Copyright
© 2007, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
10.2991/iske.2007.120
ISSN
1951-6851
DOI
10.2991/iske.2007.120How to use a DOI?
Copyright
© 2007, 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  - Jie Wu
AU  - Dun Liu
AU  - Qiyuan Peng
PY  - 2007/10
DA  - 2007/10
TI  - Study about Logistics Service Project Evaluation Based on Information Granularity of Rough Sets
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 700
EP  - 705
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.120
DO  - 10.2991/iske.2007.120
ID  - Wu2007/10
ER  -