International Journal of Computational Intelligence Systems

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Volume 9, Issue 1, January 2016, Pages 91 - 109

Cross-docking Location Selection in Distribution Systems: A New Intuitionistic Fuzzy Hierarchical Decision Model

Authors
S. Meysam Mousavi1, *, sm.mousavi@shahed.ac.ir, Behnam Vahdani2, b.vahdani@gmail.com
1Department of Industrial Engineering, Faculty of Engineering, Shahed University, Tehran, Iran
2Faculty of Industrial and Mechanical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
*Corresponding author. Tel.: +98 21 51212091; E-mail address: sm.mousavi@shahed.ac.ir.
Corresponding Author
S. Meysam Mousavism.mousavi@shahed.ac.ir
Received 16 July 2015, Accepted 1 December 2015, Available Online 1 January 2016.
DOI
10.1080/18756891.2016.1144156How to use a DOI?
Keywords
Distribution systems; cross-docking location selection; hierarchical group decision making; multiple criteria analysis; intuitionistic fuzzy sets
Abstract

This paper introduces a new intuitionistic fuzzy hierarchical group decision-making (IFHGDM) model for the cross-docking location selection problem. The model is based on intuitionistic fuzzy modified group complex proportional assessment and group order preference by similarity to ideal solution, structuring in a multiple-level hierarchy. A new intuitionistic relative index is then proposed by representing closeness to the ideal points to evaluate and rank the most appropriate cross-dock among a set of potential alternatives for the management application in distribution systems.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 1
Pages
91 - 109
Publication Date
2016/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1144156How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - S. Meysam Mousavi
AU  - Behnam Vahdani
PY  - 2016
DA  - 2016/01/01
TI  - Cross-docking Location Selection in Distribution Systems: A New Intuitionistic Fuzzy Hierarchical Decision Model
JO  - International Journal of Computational Intelligence Systems
SP  - 91
EP  - 109
VL  - 9
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1144156
DO  - 10.1080/18756891.2016.1144156
ID  - Mousavi2016
ER  -