Logistics provider selection for omni-channel environment with fuzzy axiomatic design and extended regret theory-Reference-Cited by-同舟云学术

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Logistics provider selection for omni-channel environment with fuzzy axiomatic design and extended regret theory

Published:2018-10 Issue: Volume:71 Page:353-363
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Chen Weijie,Goh Mark,Zou Yan

Funder

the Education Commission of Science and Technology plan projects of Chongqing

the China Scholarship Council, the key project of National Social Science Foundation of China

the Humanities and Social Sciences Foundation of the Ministry of Education of the People’s Republic of China

Publisher

Elsevier BV

Subject

Software

Reference42 articles.

1. Efficient multi-attribute multi-unit auctions for B2B E-Commerce logistics;XiuXu;Prod. Oper. Manag.,2016

2. TOPSIS-based group decision-making methodology in intuitionistic fuzzy setting;Yue;Inf. Sci.,2014

3. Set choice problems with incomplete information about the preferences of the decision maker;Podinovski;Eur. J. Oper. Res.,2010

4. Integration of closed loop distribution supply chain network and 3PRLP selection for the case of battery recycling;Sasikumar;Int. J. Prod. Res.,2011

5. A grey DEMATEL approach to develop third-party logistics provider selection criteria;Govindan;Ind. Manag. Data Syst.,2016

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