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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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
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ISSN:0941-0643, 1433-3058
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Abstract 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.
AbstractList 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.
Author Deng, Yong
Cao, Zehong
Han, Yuzhen
Lin, Chin-Teng
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  givenname: Yong
  surname: Deng
  fullname: Deng, Yong
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  surname: Cao
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  givenname: Chin-Teng
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  organization: Faculty of Engineering and IT, Centre for Artificial Intelligence, University of Technology Sydney
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Interval-valued Pythagorean fuzzy sets
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SubjectTerms 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
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Title An interval-valued Pythagorean prioritized operator-based game theoretical framework with its applications in multicriteria group decision making
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