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A Study on Comprehensive Evaluation of Deep-Sea HOV Cockpit Console Based on Fuzzy Gravity Center
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The cockpit console is an important part in the deep-sea human occupied vehicle (HOV). The comprehensive evaluation of HOV cockpit console is a multi-target and multi-hierarchical decision-making process. In this paper, a multi-level fuzzy comprehensive evaluation model based on gravity center is proposed which can improve the accuracy of the evaluation. Firstly, the ergonomics evaluation index system of HOV cockpit console is established according to the characteristics of HOV console. Secondly, the combination weight of index is calculated by expert subjective weighting method and standard deviation method, meanwhile, the appraisal matrix is constructed based on the theory of fuzzy gravity center, then the comprehensive evaluation result can be obtained. Finally, an experiment is given to illustrate the implementation process of the proposed method, and the experiment result verified the feasibility and rationality of the method.
Title: A Study on Comprehensive Evaluation of Deep-Sea HOV Cockpit Console Based on Fuzzy Gravity Center
Description:
The cockpit console is an important part in the deep-sea human occupied vehicle (HOV).
The comprehensive evaluation of HOV cockpit console is a multi-target and multi-hierarchical decision-making process.
In this paper, a multi-level fuzzy comprehensive evaluation model based on gravity center is proposed which can improve the accuracy of the evaluation.
Firstly, the ergonomics evaluation index system of HOV cockpit console is established according to the characteristics of HOV console.
Secondly, the combination weight of index is calculated by expert subjective weighting method and standard deviation method, meanwhile, the appraisal matrix is constructed based on the theory of fuzzy gravity center, then the comprehensive evaluation result can be obtained.
Finally, an experiment is given to illustrate the implementation process of the proposed method, and the experiment result verified the feasibility and rationality of the method.
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