Evaluation of Dam Break Social Impact Assessments Based on an Improved Variable Fuzzy Set Model
In recent years attention has shifted from "dam safety" to "dam risk" due to the high loss characteristics of dam breaks. Despite this, there has been little research on social impact assessments. Variable fuzzy sets (VFSs) are a theoretical system for dealing with uncertainty th...
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description | In recent years attention has shifted from "dam safety" to "dam risk" due to the high loss characteristics of dam breaks. Despite this, there has been little research on social impact assessments. Variable fuzzy sets (VFSs) are a theoretical system for dealing with uncertainty that are used in many industries. However, the relative membership degree (RMD) calculations required for VFSs are complicated and data can be overlooked. Furthermore, the RMD is highly subjective when dealing with qualitative problems, which can seriously affect the accuracy of the results. This study introduces grey system theory (GST) which analyzes the RMD characteristics to improve traditional VFSs. A new method for calculating the social impact of a dam break is proposed based on the correlation between the core parameters of the two theories. The Liujiatai Reservoir is used as a test case and the new and traditional evaluation methods are compared. The results show that the proposed method has advantages when dealing with uncertainty that are consistent with the characteristics of the problems associated with dam break social impact assessments. Moreover, the evaluation results obtained using the proposed method are consistent with, or more accurate than, those obtained using the traditional method. |
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Despite this, there has been little research on social impact assessments. Variable fuzzy sets (VFSs) are a theoretical system for dealing with uncertainty that are used in many industries. However, the relative membership degree (RMD) calculations required for VFSs are complicated and data can be overlooked. Furthermore, the RMD is highly subjective when dealing with qualitative problems, which can seriously affect the accuracy of the results. This study introduces grey system theory (GST) which analyzes the RMD characteristics to improve traditional VFSs. A new method for calculating the social impact of a dam break is proposed based on the correlation between the core parameters of the two theories. The Liujiatai Reservoir is used as a test case and the new and traditional evaluation methods are compared. The results show that the proposed method has advantages when dealing with uncertainty that are consistent with the characteristics of the problems associated with dam break social impact assessments. Moreover, the evaluation results obtained using the proposed method are consistent with, or more accurate than, those obtained using the traditional method.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w12040970</identifier><language>eng</language><publisher>BASEL: Mdpi</publisher><subject>Assessments ; China ; Coal-fired power plants ; Dam failure ; Dam safety ; Dams ; Design and construction ; Environmental Sciences ; Environmental Sciences & Ecology ; Evaluation ; Fuzzy sets ; Fuzzy systems ; Life Sciences & Biomedicine ; Methods ; Physical Sciences ; Risk assessment ; Science & Technology ; Scientific method ; Social aspects ; Social impact ; Systems theory ; Uncertainty ; Water quality ; Water Resources</subject><ispartof>Water (Basel), 2020-04, Vol.12 (4), p.970, Article 970</ispartof><rights>COPYRIGHT 2020 MDPI AG</rights><rights>2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>8</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000539527500047</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c331t-6a789f8b4e28bd0c7225fbcdcd4e06f180167d07d45168337db57e00aa8752963</citedby><cites>FETCH-LOGICAL-c331t-6a789f8b4e28bd0c7225fbcdcd4e06f180167d07d45168337db57e00aa8752963</cites><orcidid>0000-0002-2321-5982</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930,28253,28254</link.rule.ids></links><search><creatorcontrib>He, Guanjie</creatorcontrib><creatorcontrib>Chai, Junrui</creatorcontrib><creatorcontrib>Qin, Yuan</creatorcontrib><creatorcontrib>Xu, Zengguang</creatorcontrib><creatorcontrib>Li, Shouyi</creatorcontrib><title>Evaluation of Dam Break Social Impact Assessments Based on an Improved Variable Fuzzy Set Model</title><title>Water (Basel)</title><addtitle>WATER-SUI</addtitle><description>In recent years attention has shifted from "dam safety" to "dam risk" due to the high loss characteristics of dam breaks. Despite this, there has been little research on social impact assessments. Variable fuzzy sets (VFSs) are a theoretical system for dealing with uncertainty that are used in many industries. However, the relative membership degree (RMD) calculations required for VFSs are complicated and data can be overlooked. Furthermore, the RMD is highly subjective when dealing with qualitative problems, which can seriously affect the accuracy of the results. This study introduces grey system theory (GST) which analyzes the RMD characteristics to improve traditional VFSs. A new method for calculating the social impact of a dam break is proposed based on the correlation between the core parameters of the two theories. The Liujiatai Reservoir is used as a test case and the new and traditional evaluation methods are compared. The results show that the proposed method has advantages when dealing with uncertainty that are consistent with the characteristics of the problems associated with dam break social impact assessments. Moreover, the evaluation results obtained using the proposed method are consistent with, or more accurate than, those obtained using the traditional method.</description><subject>Assessments</subject><subject>China</subject><subject>Coal-fired power plants</subject><subject>Dam failure</subject><subject>Dam safety</subject><subject>Dams</subject><subject>Design and construction</subject><subject>Environmental Sciences</subject><subject>Environmental Sciences & Ecology</subject><subject>Evaluation</subject><subject>Fuzzy sets</subject><subject>Fuzzy systems</subject><subject>Life Sciences & Biomedicine</subject><subject>Methods</subject><subject>Physical Sciences</subject><subject>Risk assessment</subject><subject>Science & Technology</subject><subject>Scientific method</subject><subject>Social aspects</subject><subject>Social impact</subject><subject>Systems theory</subject><subject>Uncertainty</subject><subject>Water quality</subject><subject>Water Resources</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>ARHDP</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqNkE1vFSEUhiemJja1C_8BSVfG3MrnwCxvb28_khoXVbeTM3AwtDNDBaZN--vlek3jUlhwgOc9kKdpPjB6KkRHPz8xTiXtNH3THHKqxUpKyQ7-qd81xznf0TpkZ4yih02_fYRxgRLiTKIn5zCRs4RwT26jDTCS6-kBbCHrnDHnCeeSyRlkdKTyMO-uU3ys2x-QAgwjkovl5eWZ3GIhX6LD8X3z1sOY8fjvetR8v9h-21ytbr5eXm_WNysrBCurFrTpvBkkcjM4ajXnyg_WWSeRtp4ZylrtqHZSsdYIod2gNFIKYLTiXSuOmpN93_qfXwvm0t_FJc31yZ4Lo1SnOaOVOt1TP2HEPsw-lgS2TodTsHFGH-r5Wnes9pR8F_i4D9gUc07o-4cUJkjPPaP9znn_6ryyZs8-4RB9tgFni698da5Ep7hWO_t6E8of6Zu4zKVGP_1_VPwGDLqR-g</recordid><startdate>20200401</startdate><enddate>20200401</enddate><creator>He, Guanjie</creator><creator>Chai, Junrui</creator><creator>Qin, Yuan</creator><creator>Xu, Zengguang</creator><creator>Li, Shouyi</creator><general>Mdpi</general><general>MDPI AG</general><scope>17B</scope><scope>AOWDO</scope><scope>ARHDP</scope><scope>BLEPL</scope><scope>DTL</scope><scope>DVR</scope><scope>EGQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0002-2321-5982</orcidid></search><sort><creationdate>20200401</creationdate><title>Evaluation of Dam Break Social Impact Assessments Based on an Improved Variable Fuzzy Set Model</title><author>He, Guanjie ; 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Despite this, there has been little research on social impact assessments. Variable fuzzy sets (VFSs) are a theoretical system for dealing with uncertainty that are used in many industries. However, the relative membership degree (RMD) calculations required for VFSs are complicated and data can be overlooked. Furthermore, the RMD is highly subjective when dealing with qualitative problems, which can seriously affect the accuracy of the results. This study introduces grey system theory (GST) which analyzes the RMD characteristics to improve traditional VFSs. A new method for calculating the social impact of a dam break is proposed based on the correlation between the core parameters of the two theories. The Liujiatai Reservoir is used as a test case and the new and traditional evaluation methods are compared. 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subjects | Assessments China Coal-fired power plants Dam failure Dam safety Dams Design and construction Environmental Sciences Environmental Sciences & Ecology Evaluation Fuzzy sets Fuzzy systems Life Sciences & Biomedicine Methods Physical Sciences Risk assessment Science & Technology Scientific method Social aspects Social impact Systems theory Uncertainty Water quality Water Resources |
title | Evaluation of Dam Break Social Impact Assessments Based on an Improved Variable Fuzzy Set Model |
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