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Research on Gray Clustering Evaluation of Fire Risk in Ship Cabin

Authors:

Shuofeng Yu,

Guang YangAuthors Info & Claims

ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

Pages 333 - 336

https://doi.org/10.1145/3452940.3453004

Published: 17 May 2021 Publication History

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Abstract

Based on the analysis on the methods and importance of the evaluation of fire risk in ship cabin, it is proposed by using the theory and method of gray clustering analysis to determine the evaluation problem of fire risk in ship cabin. With this method, the arbitrariness of qualitative judgment can be avoid. It can also overcome the disadvantages of other quantitative methods on the evaluation of fire risk in ship cabin, thereby carry on safety precautions by making the evaluation more reasonable.

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Research on Gray Clustering Evaluation of Fire Risk in Ship Cabin

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ICITEE '20: Proceedings of the 3rd International Conference on Information Technologies and Electrical Engineering

December 2020

687 pages

ISBN:9781450388665

DOI:10.1145/3452940

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 17 May 2021

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ICITEE2020

ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering

December 3 - 5, 2020

Hunan, Changde City, China

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Abstract

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Recommendations

Ontology-Based Ship Fire Risk Assessment

Power Project Finance of PPP Risk Analysis Based on the Gray System Method

Fidelity assessment for visualization of virtual natural environment based on gray cluster

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