{"title":"A Research Method of Fishing Vessel Safety Based on AHP and Fuzzy Comprehensive Evaluation","authors":"Yuling Li, Wei He, Qinxia Xu","doi":"10.1109/IICSPI48186.2019.9095938","DOIUrl":null,"url":null,"abstract":"Fishing vessel safety accidents often occur, and the causes are various. If there is a clear understanding of the causes of these frequent accidents, the risk of accidents will be reduced. In this paper, the weights of various safety indicators of fishing vessels are calculated by the combination of AHP and cluster analysis methods. The fuzzy comprehensive evaluation method is used to evaluate the safety of fishing vessels, and the safety status of fishing vessels in Fuzhou is used as a case study to verify. The survey data of fishing boat accidents in Fuzhou City, Fujian Province, and the collection of accident data of fishing boats in other coastal cities, collating and analyzing the data, and obtaining the possible risk factors in the fishing production process of fishing vessels, refer to the relevant literature on the factors affecting the safety of fishing vessels and based on the information obtained from field research, the safety evaluation index system of Fuzhou City was constructed. The weights of each index were calculated by using the analytic hierarchy process and the cluster analysis method. Then, the fuzzy comprehensive evaluation method was used to evaluate the safety of a fishing boat. In addition, in the process of writing this article, I have contributed my own strength in the early stage of data collection, data analysis and modeling analysis.","PeriodicalId":318693,"journal":{"name":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 2nd International Conference on Safety Produce Informatization (IICSPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IICSPI48186.2019.9095938","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Fishing vessel safety accidents often occur, and the causes are various. If there is a clear understanding of the causes of these frequent accidents, the risk of accidents will be reduced. In this paper, the weights of various safety indicators of fishing vessels are calculated by the combination of AHP and cluster analysis methods. The fuzzy comprehensive evaluation method is used to evaluate the safety of fishing vessels, and the safety status of fishing vessels in Fuzhou is used as a case study to verify. The survey data of fishing boat accidents in Fuzhou City, Fujian Province, and the collection of accident data of fishing boats in other coastal cities, collating and analyzing the data, and obtaining the possible risk factors in the fishing production process of fishing vessels, refer to the relevant literature on the factors affecting the safety of fishing vessels and based on the information obtained from field research, the safety evaluation index system of Fuzhou City was constructed. The weights of each index were calculated by using the analytic hierarchy process and the cluster analysis method. Then, the fuzzy comprehensive evaluation method was used to evaluate the safety of a fishing boat. In addition, in the process of writing this article, I have contributed my own strength in the early stage of data collection, data analysis and modeling analysis.