Risk assessment of deep-sea floating offshore wind power projects based on hesitant fuzzy linguistic term set considering trust relationship among experts
The development of deep-sea floating offshore wind power (FOWP) is the key to fully utilizing water resources to enhance wind resources in the years ahead, and then the project is still in its initial stage, and identifying risks is a crucial step before promoting a significant undertaking. This pap...
Gespeichert in:
| Veröffentlicht in: | Environmental monitoring and assessment 2024-04, Vol.196 (4), p.405-405, Article 405 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 405 |
|---|---|
| container_issue | 4 |
| container_start_page | 405 |
| container_title | Environmental monitoring and assessment |
| container_volume | 196 |
| creator | Mao, Qinghua Gao, Yaqing Fan, Jiacheng Guo, Mengxin Chen, Jinjin |
| description | The development of deep-sea floating offshore wind power (FOWP) is the key to fully utilizing water resources to enhance wind resources in the years ahead, and then the project is still in its initial stage, and identifying risks is a crucial step before promoting a significant undertaking. This paper proposes a framework for identifying risks in deep-sea FOWP projects. First, this paper identifies 16 risk criteria and divides them into 5 groups to establish a criteria system. Second, hesitant fuzzy linguistic term set (HFLTS) and triangular fuzzy number (TFN) are utilized to gather and describe the criterion data to ensure the robustness and completeness of the criterion data. Third, extending the method for removal effects of criteria (MEREC) to the HFLTS environment through the conversion of TFNs, under the influence of subjective preference and objective fairness, a weighting method combining analytic network process (ANP) and MEREC is utilized to calculate criteria weights, and the trust relationship and consistency between experts are used to calculate the expert weights to avoid the subjective weighting given by experts arbitrariness. Fourth, the study’s findings indicated that the overall risk level of the deep-sea FOWP projects is “medium.” Fifth, sensitivity and comparative analyses were conducted to test the reliability of the assessment outcomes. lastly, this research proposes risk management measures for the deep-sea FOWP project’s establishment from economic, policy, technology, environment, and management aspects. |
| doi_str_mv | 10.1007/s10661-024-12582-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3031131984</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3031131984</sourcerecordid><originalsourceid>FETCH-LOGICAL-c326t-51b7ccb83f4401f7cd6434da2438d243fa35ae0667979bace1c6ee5d379d4ed73</originalsourceid><addsrcrecordid>eNp9kc2OFSEQhYnRONfRF3BhSNy4aYWmge6lmYw_ySQmRteEhsLLtbtpKTrjzKP4tHK9oyYu3EBSfOdUUYeQp5y95IzpV8iZUrxhbdfwVvZto-6RHZdaNO0gh_tkx7jSjRJqOCOPEA-MsUF3w0NyJnqpuJR6R358jPiVWkRAnGEpNAXqAdYGwdIwJVvi8qUWA-5TBnodF0_XdA2ZrjkdwBWko0XwNC10DxiLrR5hu729oVNVbhFLdLRAnilCoS4tGD3ko2nJGxaaYao9ankfV2rnVB_g-wq54GPyINgJ4cndfU4-v7n8dPGuufrw9v3F66vGiVaVRvJROzf2InQd40E7rzrRedt2ovf1CFZIC3VTetDDaB1wpwCkF3rwHXgtzsmLk2_90bcNsJg5ooNpsgukDY1ggnPBh76r6PN_0EPa8lKnq1Tbs1ZwJivVniiXE2KGYNYcZ5tvDGfmmJw5JWdqcuZXckZV0bM7622cwf-R_I6qAuIE4HpcH-S_vf9j-xPV1Kfi</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3028023105</pqid></control><display><type>article</type><title>Risk assessment of deep-sea floating offshore wind power projects based on hesitant fuzzy linguistic term set considering trust relationship among experts</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Mao, Qinghua ; Gao, Yaqing ; Fan, Jiacheng ; Guo, Mengxin ; Chen, Jinjin</creator><creatorcontrib>Mao, Qinghua ; Gao, Yaqing ; Fan, Jiacheng ; Guo, Mengxin ; Chen, Jinjin</creatorcontrib><description>The development of deep-sea floating offshore wind power (FOWP) is the key to fully utilizing water resources to enhance wind resources in the years ahead, and then the project is still in its initial stage, and identifying risks is a crucial step before promoting a significant undertaking. This paper proposes a framework for identifying risks in deep-sea FOWP projects. First, this paper identifies 16 risk criteria and divides them into 5 groups to establish a criteria system. Second, hesitant fuzzy linguistic term set (HFLTS) and triangular fuzzy number (TFN) are utilized to gather and describe the criterion data to ensure the robustness and completeness of the criterion data. Third, extending the method for removal effects of criteria (MEREC) to the HFLTS environment through the conversion of TFNs, under the influence of subjective preference and objective fairness, a weighting method combining analytic network process (ANP) and MEREC is utilized to calculate criteria weights, and the trust relationship and consistency between experts are used to calculate the expert weights to avoid the subjective weighting given by experts arbitrariness. Fourth, the study’s findings indicated that the overall risk level of the deep-sea FOWP projects is “medium.” Fifth, sensitivity and comparative analyses were conducted to test the reliability of the assessment outcomes. lastly, this research proposes risk management measures for the deep-sea FOWP project’s establishment from economic, policy, technology, environment, and management aspects.</description><identifier>ISSN: 0167-6369</identifier><identifier>EISSN: 1573-2959</identifier><identifier>DOI: 10.1007/s10661-024-12582-6</identifier><identifier>PMID: 38561557</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Atmospheric Protection/Air Quality Control/Air Pollution ; Comparative analysis ; Criteria ; Decision analysis ; Deep sea ; Deep sea environments ; Deep water ; Earth and Environmental Science ; Ecology ; Ecotoxicology ; Environment ; Environmental Management ; Environmental Monitoring ; Floating ; Fuzzy Logic ; Fuzzy sets ; Fuzzy systems ; Linguistics ; Mathematical analysis ; Monitoring/Environmental Analysis ; Offshore ; Offshore energy sources ; Reliability analysis ; Reproducibility of Results ; Risk Assessment ; Risk levels ; Risk management ; Trust ; Water resources ; Weighting methods ; Wind ; Wind power</subject><ispartof>Environmental monitoring and assessment, 2024-04, Vol.196 (4), p.405-405, Article 405</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-51b7ccb83f4401f7cd6434da2438d243fa35ae0667979bace1c6ee5d379d4ed73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10661-024-12582-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10661-024-12582-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38561557$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mao, Qinghua</creatorcontrib><creatorcontrib>Gao, Yaqing</creatorcontrib><creatorcontrib>Fan, Jiacheng</creatorcontrib><creatorcontrib>Guo, Mengxin</creatorcontrib><creatorcontrib>Chen, Jinjin</creatorcontrib><title>Risk assessment of deep-sea floating offshore wind power projects based on hesitant fuzzy linguistic term set considering trust relationship among experts</title><title>Environmental monitoring and assessment</title><addtitle>Environ Monit Assess</addtitle><addtitle>Environ Monit Assess</addtitle><description>The development of deep-sea floating offshore wind power (FOWP) is the key to fully utilizing water resources to enhance wind resources in the years ahead, and then the project is still in its initial stage, and identifying risks is a crucial step before promoting a significant undertaking. This paper proposes a framework for identifying risks in deep-sea FOWP projects. First, this paper identifies 16 risk criteria and divides them into 5 groups to establish a criteria system. Second, hesitant fuzzy linguistic term set (HFLTS) and triangular fuzzy number (TFN) are utilized to gather and describe the criterion data to ensure the robustness and completeness of the criterion data. Third, extending the method for removal effects of criteria (MEREC) to the HFLTS environment through the conversion of TFNs, under the influence of subjective preference and objective fairness, a weighting method combining analytic network process (ANP) and MEREC is utilized to calculate criteria weights, and the trust relationship and consistency between experts are used to calculate the expert weights to avoid the subjective weighting given by experts arbitrariness. Fourth, the study’s findings indicated that the overall risk level of the deep-sea FOWP projects is “medium.” Fifth, sensitivity and comparative analyses were conducted to test the reliability of the assessment outcomes. lastly, this research proposes risk management measures for the deep-sea FOWP project’s establishment from economic, policy, technology, environment, and management aspects.</description><subject>Atmospheric Protection/Air Quality Control/Air Pollution</subject><subject>Comparative analysis</subject><subject>Criteria</subject><subject>Decision analysis</subject><subject>Deep sea</subject><subject>Deep sea environments</subject><subject>Deep water</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Ecotoxicology</subject><subject>Environment</subject><subject>Environmental Management</subject><subject>Environmental Monitoring</subject><subject>Floating</subject><subject>Fuzzy Logic</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Linguistics</subject><subject>Mathematical analysis</subject><subject>Monitoring/Environmental Analysis</subject><subject>Offshore</subject><subject>Offshore energy sources</subject><subject>Reliability analysis</subject><subject>Reproducibility of Results</subject><subject>Risk Assessment</subject><subject>Risk levels</subject><subject>Risk management</subject><subject>Trust</subject><subject>Water resources</subject><subject>Weighting methods</subject><subject>Wind</subject><subject>Wind power</subject><issn>0167-6369</issn><issn>1573-2959</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc2OFSEQhYnRONfRF3BhSNy4aYWmge6lmYw_ySQmRteEhsLLtbtpKTrjzKP4tHK9oyYu3EBSfOdUUYeQp5y95IzpV8iZUrxhbdfwVvZto-6RHZdaNO0gh_tkx7jSjRJqOCOPEA-MsUF3w0NyJnqpuJR6R358jPiVWkRAnGEpNAXqAdYGwdIwJVvi8qUWA-5TBnodF0_XdA2ZrjkdwBWko0XwNC10DxiLrR5hu729oVNVbhFLdLRAnilCoS4tGD3ko2nJGxaaYao9ankfV2rnVB_g-wq54GPyINgJ4cndfU4-v7n8dPGuufrw9v3F66vGiVaVRvJROzf2InQd40E7rzrRedt2ovf1CFZIC3VTetDDaB1wpwCkF3rwHXgtzsmLk2_90bcNsJg5ooNpsgukDY1ggnPBh76r6PN_0EPa8lKnq1Tbs1ZwJivVniiXE2KGYNYcZ5tvDGfmmJw5JWdqcuZXckZV0bM7622cwf-R_I6qAuIE4HpcH-S_vf9j-xPV1Kfi</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Mao, Qinghua</creator><creator>Gao, Yaqing</creator><creator>Fan, Jiacheng</creator><creator>Guo, Mengxin</creator><creator>Chen, Jinjin</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7QL</scope><scope>7SN</scope><scope>7ST</scope><scope>7T7</scope><scope>7TG</scope><scope>7TN</scope><scope>7U7</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H97</scope><scope>K9.</scope><scope>KL.</scope><scope>L.G</scope><scope>M7N</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20240401</creationdate><title>Risk assessment of deep-sea floating offshore wind power projects based on hesitant fuzzy linguistic term set considering trust relationship among experts</title><author>Mao, Qinghua ; Gao, Yaqing ; Fan, Jiacheng ; Guo, Mengxin ; Chen, Jinjin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-51b7ccb83f4401f7cd6434da2438d243fa35ae0667979bace1c6ee5d379d4ed73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Atmospheric Protection/Air Quality Control/Air Pollution</topic><topic>Comparative analysis</topic><topic>Criteria</topic><topic>Decision analysis</topic><topic>Deep sea</topic><topic>Deep sea environments</topic><topic>Deep water</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Ecotoxicology</topic><topic>Environment</topic><topic>Environmental Management</topic><topic>Environmental Monitoring</topic><topic>Floating</topic><topic>Fuzzy Logic</topic><topic>Fuzzy sets</topic><topic>Fuzzy systems</topic><topic>Linguistics</topic><topic>Mathematical analysis</topic><topic>Monitoring/Environmental Analysis</topic><topic>Offshore</topic><topic>Offshore energy sources</topic><topic>Reliability analysis</topic><topic>Reproducibility of Results</topic><topic>Risk Assessment</topic><topic>Risk levels</topic><topic>Risk management</topic><topic>Trust</topic><topic>Water resources</topic><topic>Weighting methods</topic><topic>Wind</topic><topic>Wind power</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mao, Qinghua</creatorcontrib><creatorcontrib>Gao, Yaqing</creatorcontrib><creatorcontrib>Fan, Jiacheng</creatorcontrib><creatorcontrib>Guo, Mengxin</creatorcontrib><creatorcontrib>Chen, Jinjin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental monitoring and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mao, Qinghua</au><au>Gao, Yaqing</au><au>Fan, Jiacheng</au><au>Guo, Mengxin</au><au>Chen, Jinjin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Risk assessment of deep-sea floating offshore wind power projects based on hesitant fuzzy linguistic term set considering trust relationship among experts</atitle><jtitle>Environmental monitoring and assessment</jtitle><stitle>Environ Monit Assess</stitle><addtitle>Environ Monit Assess</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>196</volume><issue>4</issue><spage>405</spage><epage>405</epage><pages>405-405</pages><artnum>405</artnum><issn>0167-6369</issn><eissn>1573-2959</eissn><abstract>The development of deep-sea floating offshore wind power (FOWP) is the key to fully utilizing water resources to enhance wind resources in the years ahead, and then the project is still in its initial stage, and identifying risks is a crucial step before promoting a significant undertaking. This paper proposes a framework for identifying risks in deep-sea FOWP projects. First, this paper identifies 16 risk criteria and divides them into 5 groups to establish a criteria system. Second, hesitant fuzzy linguistic term set (HFLTS) and triangular fuzzy number (TFN) are utilized to gather and describe the criterion data to ensure the robustness and completeness of the criterion data. Third, extending the method for removal effects of criteria (MEREC) to the HFLTS environment through the conversion of TFNs, under the influence of subjective preference and objective fairness, a weighting method combining analytic network process (ANP) and MEREC is utilized to calculate criteria weights, and the trust relationship and consistency between experts are used to calculate the expert weights to avoid the subjective weighting given by experts arbitrariness. Fourth, the study’s findings indicated that the overall risk level of the deep-sea FOWP projects is “medium.” Fifth, sensitivity and comparative analyses were conducted to test the reliability of the assessment outcomes. lastly, this research proposes risk management measures for the deep-sea FOWP project’s establishment from economic, policy, technology, environment, and management aspects.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>38561557</pmid><doi>10.1007/s10661-024-12582-6</doi><tpages>1</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0167-6369 |
| ispartof | Environmental monitoring and assessment, 2024-04, Vol.196 (4), p.405-405, Article 405 |
| issn | 0167-6369 1573-2959 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_3031131984 |
| source | MEDLINE; SpringerNature Journals |
| subjects | Atmospheric Protection/Air Quality Control/Air Pollution Comparative analysis Criteria Decision analysis Deep sea Deep sea environments Deep water Earth and Environmental Science Ecology Ecotoxicology Environment Environmental Management Environmental Monitoring Floating Fuzzy Logic Fuzzy sets Fuzzy systems Linguistics Mathematical analysis Monitoring/Environmental Analysis Offshore Offshore energy sources Reliability analysis Reproducibility of Results Risk Assessment Risk levels Risk management Trust Water resources Weighting methods Wind Wind power |
| title | Risk assessment of deep-sea floating offshore wind power projects based on hesitant fuzzy linguistic term set considering trust relationship among experts |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-14T09%3A16%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Risk%20assessment%20of%20deep-sea%20floating%20offshore%20wind%20power%20projects%20based%20on%20hesitant%20fuzzy%20linguistic%20term%20set%20considering%20trust%20relationship%20among%20experts&rft.jtitle=Environmental%20monitoring%20and%20assessment&rft.au=Mao,%20Qinghua&rft.date=2024-04-01&rft.volume=196&rft.issue=4&rft.spage=405&rft.epage=405&rft.pages=405-405&rft.artnum=405&rft.issn=0167-6369&rft.eissn=1573-2959&rft_id=info:doi/10.1007/s10661-024-12582-6&rft_dat=%3Cproquest_cross%3E3031131984%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3028023105&rft_id=info:pmid/38561557&rfr_iscdi=true |