International Journal of Computational Intelligence Systems

Volume 12, Issue 1, November 2018, Pages 395 - 409

A New Distance-Based Consensus Reaching Model for Multi-Attribute Group Decision-Making with Linguistic Distribution Assessments

Authors
Shengbao Yao*
School of Business Administration, Zhongnan University of Economics and Law, Wuhan, Hubei 430073, China
*

Corresponding author. Email: yaoshengbao@hotmail.com

Received 25 November 2018, Accepted 4 February 2019, Available Online 19 February 2019.
DOI
https://doi.org/10.2991/ijcis.2018.125905656How to use a DOI?
Keywords
Multi-attribute group decision-making; Linguistic distribution assessments; Consensus reaching; Distance measure; Optimization
Abstract

This paper proposes a novel consensus reaching model for multi-attribute group decision making (MAGDM) with information represented by means of linguistic distribution assessments. Firstly, some drawbacks of the existing distance measures for linguistic distribution assessments are analyzed by using numerical counterexamples, and a new distance measure is proposed for linguistic distribution assessments in order to alleviate the limitations. Then, a novel consensus reaching model is developed for MAGDM with linguistic distribution assessment, in which a feedback mechanism is devised by combining an identification rule and an optimization-based model. In this consensus framework, the model allows experts who are identified to modify their preferences to provide additional preference information about linguistic distribution assessments in each iteration. Meanwhile, by solving an optimization model, the consensus reaching model can automatically generate preference adjustment suggestions for experts. Moreover, the optimization model solved in each iteration minimizes the deviation between the adjusted values and initial preferences, which in turn leads to the good performance of the proposed consensus reaching model in preserving the initial preference information. Finally, an illustrative example shows that the proposed consensus reaching model is feasible and effective, and a comparative analysis highlights the advantages and characteristics of the model.

Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
12 - 1
Pages
395 - 409
Publication Date
2019/02/19
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2018.125905656How to use a DOI?
Copyright
© 2019 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Shengbao Yao
PY  - 2019
DA  - 2019/02/19
TI  - A New Distance-Based Consensus Reaching Model for Multi-Attribute Group Decision-Making with Linguistic Distribution Assessments
JO  - International Journal of Computational Intelligence Systems
SP  - 395
EP  - 409
VL  - 12
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2018.125905656
DO  - https://doi.org/10.2991/ijcis.2018.125905656
ID  - Yao2019
ER  -