Game Theory Combined Empowerment-Cloud Evaluation System

This paper proposes a Game Theory Combined Empowerment-Cloud Evaluation System, which aims to solve the challenges in multi-dimensional evaluation of complex systems. The system combines the advantages of game theory and the flexibility of cloud model. By considering the internal relationship and interaction of each evaluation index, a comprehensive evaluation framework that can reflect the multi-dimensional characteristics of the system is constructed. In terms of weight distribution, this paper uses the game theory combination weight method to balance the subjective weight (based on the analytic hierarchy process AHP) and the objective weight (based on the entropy weight method), and optimizes the weight combination by solving the Nash equilibrium point. In addition, the cloud model is introduced to quantify the fuzziness and randomness of the evaluation index, and the uncertainty is comprehensively measured by the three numerical characteristics of expectation, entropy and hyperentropy. Based on the membership function of the cloud model, combined with the combined weight, the system can output the evaluation results of each index and its comprehensive membership degree, and carry out comprehensive evaluation according to the principle of maximum membership degree.

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Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.04.224
Citations
2
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
8.34
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article

Game Theory Combined Empowerment-Cloud Evaluation System

Huning Dai
2 citations
Procedia Computer Science
Technology Adoption and User Behaviour
8.34
article

Game Theory Combined Empowerment-Cloud Evaluation System

Huning Dai
article en
2 citations

Abstract

This paper proposes a Game Theory Combined Empowerment-Cloud Evaluation System, which aims to solve the challenges in multi-dimensional evaluation of complex systems. The system combines the advantages of game theory and the flexibility of cloud model. By considering the internal relationship and interaction of each evaluation index, a comprehensive evaluation framework that can reflect the multi-dimensional characteristics of the system is constructed. In terms of weight distribution, this paper uses the game theory combination weight method to balance the subjective weight (based on the analytic hierarchy process AHP) and the objective weight (based on the entropy weight method), and optimizes the weight combination by solving the Nash equilibrium point. In addition, the cloud model is introduced to quantify the fuzziness and randomness of the evaluation index, and the uncertainty is comprehensively measured by the three numerical characteristics of expectation, entropy and hyperentropy. Based on the membership function of the cloud model, combined with the combined weight, the system can output the evaluation results of each index and its comprehensive membership degree, and carry out comprehensive evaluation according to the principle of maximum membership degree.

Procedia Computer ScienceVol. 261
Wuyi University (CN)
Openalex Percentile: Top 3%
Technology Adoption and User Behaviour
8.34
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