An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making

Multicriteria decision-making process explicitly evaluates multiple conflicting criteria in decision making. The conventional decision-making approaches assumed that each agent is independent, but the reality is that each agent aims to maximize personal benefit which causes a negative influence on o...

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Bibliographic Details
Published in:Neural computing & applications Vol. 32; no. 12; pp. 7641 - 7659
Main Authors: Han, Yuzhen, Deng, Yong, Cao, Zehong, Lin, Chin-Teng
Format: Journal Article
Language:English
Published: London Springer London 01.06.2020
Springer Nature B.V
Subjects:
Artificial Intelligence
Computational Biology/Bioinformatics
Computational Science and Engineering
Computer Science
Data Mining and Knowledge Discovery
Decision making
Decision theory
Fuzzy sets
Game theory
Games
Image Processing and Computer Vision
Multiple criterion
Probability and Statistics in Computer Science
Soft Computing Techniques: Applications and Challenges
Multicriteria group decision making
Interval-valued Pythagorean fuzzy sets
Priority level
Game theory
ISSN:0941-0643, 1433-3058
Online Access:Get full text
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Summary:Multicriteria decision-making process explicitly evaluates multiple conflicting criteria in decision making. The conventional decision-making approaches assumed that each agent is independent, but the reality is that each agent aims to maximize personal benefit which causes a negative influence on other agents’ behaviors in a real-world competitive environment. In our study, we proposed an interval-valued Pythagorean prioritized operator-based game theoretical framework to mitigate the cross-influence problem. The proposed framework considers both prioritized levels among various criteria and decision makers within five stages. Notably, the interval-valued Pythagorean fuzzy sets are supposed to express the uncertainty of experts, and the game theories are applied to optimize the combination of strategies in interactive situations. Additionally, we also provided illustrative examples to address the application of our proposed framework. In summary, we provided a human-inspired framework to represent the behavior of group decision making in the interactive environment, which is potential to simulate the process of realistic humans thinking.
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ISSN:0941-0643
1433-3058
DOI:10.1007/s00521-019-04014-1