Home>Results

  • Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
成果搜索

[期刊论文]

E-commerce logistics provider selection based on multi-criteria decision-making approach with uncertain information

Share
Edit Delete 报错

author:

Chen, Ke-Jia (Chen, Ke-Jia.) [1] (Scholars:陈可嘉) | Zhang, Jin-Hua (Zhang, Jin-Hua.) [2] | Lan, Yi-Xin (Lan, Yi-Xin.) [3] (Scholars:蓝以信) | Unfold

Indexed by:

EI

Abstract:

Logistics provider selection is a multi-criteria decision-making problem faced by e-commerce companies. Considering the complexity of the problem and the uncertainty of the decision information, an integrated approach of GTOPSIS is proposed for evaluating and selecting the most suitable logistics provider. The GTOPSIS approach integrates the three-parameter interval grey number (T-PIGN) into the technique for order preference by similarity to ideal solution (TOPSIS). It allows decision-makers to use T-PIGN to represent the performance of the alternatives which can retain and utilise the original uncertain assessment information of alternatives to the greatest extent. Besides, the PERT distribution is adopted to weight the three parameters of T-PIGN. A real-life case study is presented to demonstrate the practicality and effectiveness of the GTOPSIS approach. Copyright © 2022 Inderscience Enterprises Ltd.

Keyword:

Decision making Electronic commerce System theory

Community:

  • [ 1 ] [Chen, Ke-Jia]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 2 ] [Zhang, Jin-Hua]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 3 ] [Lan, Yi-Xin]School of Economics and Management, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chen, Ping]School of Economics and Management, Fuzhou University, Fuzhou, China

Reprint 's Address:

Show more details

Related Article:

Source :

International Journal of Industrial and Systems Engineering

ISSN: 1748-5037

Year: 2022

Issue: 1

Volume: 40

Page: 104-125

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

30 Days PV: 2

Online/Total:288/10837291
Address:FZU Library(No.2 Xuyuan Road, Fuzhou, Fujian, PRC Post Code:350116) Contact Us:0591-22865326
Copyright:FZU Library Technical Support:Beijing Aegean Software Co., Ltd. 闽ICP备05005463号-1