Proceedings of the 2nd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2018)

Logistics Service Suppliers Evaluation Based on Fuzzy Soft Set

Authors
Dandan Zhang, Jie Xu
Corresponding Author
Dandan Zhang
Available Online March 2018.
DOI
10.2991/emehss-18.2018.44How to use a DOI?
Keywords
Logistics Service, Fuzzy Soft Set.
Abstract

This paper analyzes the content and scope of logistics service demand of company A, builds the evaluation indicator system of logistics service suppliers of company A, uses the fuzzy soft set to quantify and analyze the evaluation index of logistics service suppliers of company A, Established a Multi-departmental expert model evaluation system, and through the example project suppliers analysis and verification and evaluation, pointed out that company A selects a high-quality logistics service supplier is conducive to enhancing A company's logistics service capabilities, thus enhancing A's core competitiveness.

Copyright
© 2018, 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 2nd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
March 2018
ISBN
10.2991/emehss-18.2018.44
ISSN
2352-5398
DOI
10.2991/emehss-18.2018.44How to use a DOI?
Copyright
© 2018, 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  - Dandan Zhang
AU  - Jie Xu
PY  - 2018/03
DA  - 2018/03
TI  - Logistics Service Suppliers Evaluation Based on Fuzzy Soft Set
BT  - Proceedings of the 2nd International Conference on Economics and Management, Education, Humanities and Social Sciences (EMEHSS 2018)
PB  - Atlantis Press
SP  - 218
EP  - 222
SN  - 2352-5398
UR  - https://doi.org/10.2991/emehss-18.2018.44
DO  - 10.2991/emehss-18.2018.44
ID  - Zhang2018/03
ER  -