A Competitive Multiattribute Group Decision-Making Approach for the Game between Manufacturers
Joint Authors
Zhang, Quan
Jiang, KeXin
Yan, ManTing
Ma, JiYun
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-11
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Under the competitive market environment, the game between manufacturers comes down to the competitive multiattribute group decision-making problem.
In this study, the evaluation information of experts is given in the form of 2-dimension 2-tuple linguistic variables, and an approach is proposed for the competitive multiattribute group decision-making problem based on game theory and evidence theory.
Firstly, based on the evidence theory, the attribute values of each situation are obtained by aggregating the 2-dimension 2-tuple linguistic evaluation information given by experts.
Secondly, according to the attribute values of every situation, the evidence theory is applied for the second aggregation to obtain the overall values of every situation, and then the game matrix of competitive multiattribute group decision problem is formed.
Then, according to the bivariate game matrix, the Nash equilibrium point of competitive multiattribute group decision-making problem is determined based on game theory.
Finally, a practical case about the alternative selections for a duopoly problem is used to illustrate the effectiveness and applicability of the proposed approach for the competitive multiattribute group decision-making problem.
American Psychological Association (APA)
Zhang, Quan& Jiang, KeXin& Yan, ManTing& Ma, JiYun. 2019. A Competitive Multiattribute Group Decision-Making Approach for the Game between Manufacturers. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1129619
Modern Language Association (MLA)
Zhang, Quan…[et al.]. A Competitive Multiattribute Group Decision-Making Approach for the Game between Manufacturers. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1129619
American Medical Association (AMA)
Zhang, Quan& Jiang, KeXin& Yan, ManTing& Ma, JiYun. A Competitive Multiattribute Group Decision-Making Approach for the Game between Manufacturers. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1129619
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129619