International Journal of Computational Intelligence Systems

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Volume 10, Issue 1, 2017, Pages 456 - 469

A Comparison of Distinct Consensus Measures for Group Decision Making with Intuitionistic Fuzzy Preference Relations

Authors
Huchang Liao1, liaohuchang@163.com, Zhimin Li2, *, 2218538304@qq.com, Xiao-Jun Zeng3, x.zeng@manchester.ac.uk, Weishu Liu4, wsliu08@163.com
1Business School, Sichuan University, Chengdu, Sichuan, China
2School of Computer and Information Science, Hubei Engineering University, Xiaogan, Hubei, China
3School of Computer Science, University of Manchester, Manchester, United Kingdom
4School of Information Management and Engineering, Zhejiang University of Finance and Economics, Hangzhou, China
*Corresponding author.
Corresponding Author
Received 20 July 2016, Accepted 16 November 2016, Available Online 1 January 2017.
DOI
10.2991/ijcis.2017.10.1.31How to use a DOI?
Keywords
Group decision making; intuitionistic fuzzy preference relation; consensus measure; intuitionistic fuzzy set; consensus reaching process
Abstract

Intuitionistic fuzzy preference relation (IFPR), which express experts’ preferences from the preferred, the non-preferred and the indeterminate aspects, has turned out to be an efficient tool in describing the rough and subjective opinions of experts. This paper focuses on the consensus measures for group decision making (GDM) in which all the experts use the IFPRs to express their preferences. Firstly, we give a brief analysis over the framework, the consistency checking process, and the selection process of intuitionistic fuzzy GDM. After that, two novel consensus measures, namely, the outranking flow based consensus measure and the ordinal consensus measure, are proposed to help an analyst to describe the degree of agreement among the experts in a group. In addition, an in-depth comparison is made from both theoretical and empirical points of view over our proposed consensus measures against the existing ones. Furthermore, a numerical example is given to show the difference among these distinct consensus measures. Finally, based on the ordinal consensus measure, a procedure is given to help the decision maker yield a final solution for GDM problems.

Copyright
© 2017, the Authors. Published by Atlantis Press.
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
10 - 1
Pages
456 - 469
Publication Date
2017/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2017.10.1.31How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
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  - Huchang Liao
AU  - Zhimin Li
AU  - Xiao-Jun Zeng
AU  - Weishu Liu
PY  - 2017
DA  - 2017/01/01
TI  - A Comparison of Distinct Consensus Measures for Group Decision Making with Intuitionistic Fuzzy Preference Relations
JO  - International Journal of Computational Intelligence Systems
SP  - 456
EP  - 469
VL  - 10
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2017.10.1.31
DO  - 10.2991/ijcis.2017.10.1.31
ID  - Liao2017
ER  -