Risk Assessment Method for Ship Based on Improved Fuzzy Multicriteria Decision-Making
Aimed at the uncertainties and relevance issues during the risk factor identification in multicriteria decision-making, this paper presents a ship risk assessment model based on the improved fuzzy multicriteria decision-making. First, on the basis of safety assessment and importance judgment of risk...
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| Veröffentlicht in: | Mathematical problems in engineering 2022-12, Vol.2022, p.1-16 |
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| container_title | Mathematical problems in engineering |
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| creator | Wang, Xuefeng Xie, Xuyang Zeng, Guoqing Zhang, Lei Li, Kunfeng Chen, Guobing |
| description | Aimed at the uncertainties and relevance issues during the risk factor identification in multicriteria decision-making, this paper presents a ship risk assessment model based on the improved fuzzy multicriteria decision-making. First, on the basis of safety assessment and importance judgment of risk sources conducted by experts, the peer-to-peer consensus model is employed to integrate the relative importance of risk sources and obtain the weight of experts; the weight of risk factors is then determined by nonlinear programming model according to the experts’ preference for risk sources; finally, the risk assessment is carried out using the MULTIMOORA method and the final ranking of the alternatives is determined by means of the fuzzy number quantitative calculation method. Analysis and research are conducted on specific causes of ship engine room fires, and the results are compared with outcomes of the traditional MULTIMOORA method and the fuzzy analytic hierarchy process based on Monte Carlo simulation. It is concluded that the calculated ranking results are more reasonable, hence verifying the superiority of this model. |
| doi_str_mv | 10.1155/2022/9743396 |
| format | Article |
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First, on the basis of safety assessment and importance judgment of risk sources conducted by experts, the peer-to-peer consensus model is employed to integrate the relative importance of risk sources and obtain the weight of experts; the weight of risk factors is then determined by nonlinear programming model according to the experts’ preference for risk sources; finally, the risk assessment is carried out using the MULTIMOORA method and the final ranking of the alternatives is determined by means of the fuzzy number quantitative calculation method. Analysis and research are conducted on specific causes of ship engine room fires, and the results are compared with outcomes of the traditional MULTIMOORA method and the fuzzy analytic hierarchy process based on Monte Carlo simulation. It is concluded that the calculated ranking results are more reasonable, hence verifying the superiority of this model.</description><identifier>ISSN: 1024-123X</identifier><identifier>EISSN: 1563-5147</identifier><identifier>DOI: 10.1155/2022/9743396</identifier><language>eng</language><publisher>New York: Hindawi</publisher><subject>Analytic hierarchy process ; Decision making ; Engine rooms ; Fuzzy sets ; Fuzzy systems ; Marine engines ; Mathematical problems ; Methods ; Multiple criterion ; Nonlinear programming ; Preferences ; Ranking ; Risk analysis ; Risk assessment ; Risk factors ; Set theory ; Shipping industry</subject><ispartof>Mathematical problems in engineering, 2022-12, Vol.2022, p.1-16</ispartof><rights>Copyright © 2022 Xuefeng Wang et al.</rights><rights>Copyright © 2022 Xuefeng Wang et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-19f17c5a5a5c3486f4b4666851c55bc2e75d7f219670db53b570b758fb7432783</citedby><cites>FETCH-LOGICAL-c337t-19f17c5a5a5c3486f4b4666851c55bc2e75d7f219670db53b570b758fb7432783</cites><orcidid>0000-0003-3687-2444</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><contributor>Jana, Chiranjibe</contributor><contributor>Chiranjibe Jana</contributor><creatorcontrib>Wang, Xuefeng</creatorcontrib><creatorcontrib>Xie, Xuyang</creatorcontrib><creatorcontrib>Zeng, Guoqing</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Li, Kunfeng</creatorcontrib><creatorcontrib>Chen, Guobing</creatorcontrib><title>Risk Assessment Method for Ship Based on Improved Fuzzy Multicriteria Decision-Making</title><title>Mathematical problems in engineering</title><description>Aimed at the uncertainties and relevance issues during the risk factor identification in multicriteria decision-making, this paper presents a ship risk assessment model based on the improved fuzzy multicriteria decision-making. First, on the basis of safety assessment and importance judgment of risk sources conducted by experts, the peer-to-peer consensus model is employed to integrate the relative importance of risk sources and obtain the weight of experts; the weight of risk factors is then determined by nonlinear programming model according to the experts’ preference for risk sources; finally, the risk assessment is carried out using the MULTIMOORA method and the final ranking of the alternatives is determined by means of the fuzzy number quantitative calculation method. Analysis and research are conducted on specific causes of ship engine room fires, and the results are compared with outcomes of the traditional MULTIMOORA method and the fuzzy analytic hierarchy process based on Monte Carlo simulation. It is concluded that the calculated ranking results are more reasonable, hence verifying the superiority of this model.</description><subject>Analytic hierarchy process</subject><subject>Decision making</subject><subject>Engine rooms</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Marine engines</subject><subject>Mathematical problems</subject><subject>Methods</subject><subject>Multiple criterion</subject><subject>Nonlinear programming</subject><subject>Preferences</subject><subject>Ranking</subject><subject>Risk analysis</subject><subject>Risk assessment</subject><subject>Risk factors</subject><subject>Set theory</subject><subject>Shipping industry</subject><issn>1024-123X</issn><issn>1563-5147</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kLtOwzAUhi0EEqWw8QCWGCHUl9hOxlIoVGqEBFRisxzHpu4lKXYCap8eV-2MznD-4dO5fABcY3SPMWMDgggZ5CKlNOcnoIcZpwnDqTiNGZE0wYR-noOLEBYIEcxw1gOzNxeWcBiCCWFt6hYWpp03FbSNh-9zt4EPKpgKNjWcrDe--Yl53O12W1h0q9Zp71rjnYKPRrvgmjop1NLVX5fgzKpVMFfH3gez8dPH6CWZvj5PRsNpoikVbYJzi4VmKpamacZtWqac84xhzVipiRGsEpbgnAtUlYyWTKBSsMyW8UciMtoHN4e58bTvzoRWLprO13GlJJFDhOcZjdTdgdK-CcEbKzferZXfSozkXpzci5NHcRG_PeBzV1fq1_1P_wGTpWvd</recordid><startdate>20221213</startdate><enddate>20221213</enddate><creator>Wang, Xuefeng</creator><creator>Xie, Xuyang</creator><creator>Zeng, Guoqing</creator><creator>Zhang, Lei</creator><creator>Li, Kunfeng</creator><creator>Chen, Guobing</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>KR7</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><orcidid>https://orcid.org/0000-0003-3687-2444</orcidid></search><sort><creationdate>20221213</creationdate><title>Risk Assessment Method for Ship Based on Improved Fuzzy Multicriteria Decision-Making</title><author>Wang, Xuefeng ; Xie, Xuyang ; Zeng, Guoqing ; Zhang, Lei ; Li, Kunfeng ; Chen, Guobing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-19f17c5a5a5c3486f4b4666851c55bc2e75d7f219670db53b570b758fb7432783</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analytic hierarchy process</topic><topic>Decision making</topic><topic>Engine rooms</topic><topic>Fuzzy sets</topic><topic>Fuzzy systems</topic><topic>Marine engines</topic><topic>Mathematical problems</topic><topic>Methods</topic><topic>Multiple criterion</topic><topic>Nonlinear programming</topic><topic>Preferences</topic><topic>Ranking</topic><topic>Risk analysis</topic><topic>Risk assessment</topic><topic>Risk factors</topic><topic>Set theory</topic><topic>Shipping industry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Xuefeng</creatorcontrib><creatorcontrib>Xie, Xuyang</creatorcontrib><creatorcontrib>Zeng, Guoqing</creatorcontrib><creatorcontrib>Zhang, Lei</creatorcontrib><creatorcontrib>Li, Kunfeng</creatorcontrib><creatorcontrib>Chen, Guobing</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>Civil Engineering Abstracts</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Mathematical problems in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Xuefeng</au><au>Xie, Xuyang</au><au>Zeng, Guoqing</au><au>Zhang, Lei</au><au>Li, Kunfeng</au><au>Chen, Guobing</au><au>Jana, Chiranjibe</au><au>Chiranjibe Jana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk Assessment Method for Ship Based on Improved Fuzzy Multicriteria Decision-Making</atitle><jtitle>Mathematical problems in engineering</jtitle><date>2022-12-13</date><risdate>2022</risdate><volume>2022</volume><spage>1</spage><epage>16</epage><pages>1-16</pages><issn>1024-123X</issn><eissn>1563-5147</eissn><abstract>Aimed at the uncertainties and relevance issues during the risk factor identification in multicriteria decision-making, this paper presents a ship risk assessment model based on the improved fuzzy multicriteria decision-making. First, on the basis of safety assessment and importance judgment of risk sources conducted by experts, the peer-to-peer consensus model is employed to integrate the relative importance of risk sources and obtain the weight of experts; the weight of risk factors is then determined by nonlinear programming model according to the experts’ preference for risk sources; finally, the risk assessment is carried out using the MULTIMOORA method and the final ranking of the alternatives is determined by means of the fuzzy number quantitative calculation method. Analysis and research are conducted on specific causes of ship engine room fires, and the results are compared with outcomes of the traditional MULTIMOORA method and the fuzzy analytic hierarchy process based on Monte Carlo simulation. 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| subjects | Analytic hierarchy process Decision making Engine rooms Fuzzy sets Fuzzy systems Marine engines Mathematical problems Methods Multiple criterion Nonlinear programming Preferences Ranking Risk analysis Risk assessment Risk factors Set theory Shipping industry |
| title | Risk Assessment Method for Ship Based on Improved Fuzzy Multicriteria Decision-Making |
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