Multi-person multiobjective fuzzy decision-making model for reservoir flood control operation
By analyzing the present situation of reservoir flood control operation, this paper proposes multi-person multiobjective decision-making model for the problems of flood control operation. The model takes the influence of multiobjectives and experience and knowledge of decision-makers into account. I...
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| Veröffentlicht in: | Water resources management 2004-04, Vol.18 (2), p.111-124 |
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| creator | Yu, Y.B Wang, B.D Wang, G.L Li, W |
| description | By analyzing the present situation of reservoir flood control operation, this paper proposes multi-person multiobjective decision-making model for the problems of flood control operation. The model takes the influence of multiobjectives and experience and knowledge of decision-makers into account. In order to find an optimal alternative decided by multiple decision-makers from all the given alternatives, the relative optimal membership degree of every decision-maker to every alternative is first obtained and then the optimal membership degree of every decision-maker to every alternative is obtained which collects group preferences through two stages. The advantages of this model are simple and more adaptable to the practical problem. The model is demonstrated by application in Fengman Reservoir located in Songhua River Basin in China. Of course, this method can also be applied in other science fields. |
| doi_str_mv | 10.1023/B:WARM.0000024705.63932.3c |
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The model takes the influence of multiobjectives and experience and knowledge of decision-makers into account. In order to find an optimal alternative decided by multiple decision-makers from all the given alternatives, the relative optimal membership degree of every decision-maker to every alternative is first obtained and then the optimal membership degree of every decision-maker to every alternative is obtained which collects group preferences through two stages. The advantages of this model are simple and more adaptable to the practical problem. The model is demonstrated by application in Fengman Reservoir located in Songhua River Basin in China. Of course, this method can also be applied in other science fields.</description><identifier>ISSN: 0920-4741</identifier><identifier>EISSN: 1573-1650</identifier><identifier>DOI: 10.1023/B:WARM.0000024705.63932.3c</identifier><identifier>CODEN: WRMAEJ</identifier><language>eng</language><publisher>Dordrecht: Springer</publisher><subject>Decision making ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Flood control ; flood control operation ; Floods ; Freshwater ; fuzzy logic ; hydrologic models ; Hydrology. Hydrogeology ; Reservoirs ; River basins ; Studies ; water ; Water resources ; watershed hydrology ; watershed management ; watersheds</subject><ispartof>Water resources management, 2004-04, Vol.18 (2), p.111-124</ispartof><rights>2004 INIST-CNRS</rights><rights>Kluwer Academic Publishers 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c405t-cd6a4b22e6a11f202ec563d6d0cfee0b30dfd5d84c1deaa537ea7742b56aaf973</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15718215$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Yu, Y.B</creatorcontrib><creatorcontrib>Wang, B.D</creatorcontrib><creatorcontrib>Wang, G.L</creatorcontrib><creatorcontrib>Li, W</creatorcontrib><title>Multi-person multiobjective fuzzy decision-making model for reservoir flood control operation</title><title>Water resources management</title><description>By analyzing the present situation of reservoir flood control operation, this paper proposes multi-person multiobjective decision-making model for the problems of flood control operation. The model takes the influence of multiobjectives and experience and knowledge of decision-makers into account. In order to find an optimal alternative decided by multiple decision-makers from all the given alternatives, the relative optimal membership degree of every decision-maker to every alternative is first obtained and then the optimal membership degree of every decision-maker to every alternative is obtained which collects group preferences through two stages. The advantages of this model are simple and more adaptable to the practical problem. The model is demonstrated by application in Fengman Reservoir located in Songhua River Basin in China. Of course, this method can also be applied in other science fields.</description><subject>Decision making</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Flood control</subject><subject>flood control operation</subject><subject>Floods</subject><subject>Freshwater</subject><subject>fuzzy logic</subject><subject>hydrologic models</subject><subject>Hydrology. Hydrogeology</subject><subject>Reservoirs</subject><subject>River basins</subject><subject>Studies</subject><subject>water</subject><subject>Water resources</subject><subject>watershed hydrology</subject><subject>watershed management</subject><subject>watersheds</subject><issn>0920-4741</issn><issn>1573-1650</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kV1rFDEUhoMouFZ_g6GgXs168j3bu7b4BS1Ca-lVCdnkpMw6M9kmM4X215t1CwUvzM0h8OQ95H0IOWSwZMDF55Oj6-OL8yXsDpcG1FKLleBL4V-QBVNGNEwreEkWsOLQSCPZa_KmlA0AA1jBgtycz_3UNVvMJY102F3SeoN-6u6Rxvnx8YEG9F3p0tgM7nc33tIhBexpTJlmLJjvU5dp7FMK1Kdxyqmnqca5GjS-Ja-i6wu-e5oH5Orrl1-n35uzn99-nB6fNV6CmhoftJNrzlE7xiIHjl5pEXQAHxFhLSDEoEIrPQvonBIGnTGSr5V2Lq6MOCCf9rnbnO5mLJMduuKx792IaS7WSKFrQYJV8uN_SaaZaU0rK3j4D7hJcx7rL6xRHFSrpK7Q0R7yOZWSMdpt7gaXHywDuxNkT-xOkH0WZP8KssLXxx-eNrjiXR-zG2vRzwnKsJYzVbn3ey66ZN1trszVJQcmqsFaguHiDz9JnQU</recordid><startdate>20040401</startdate><enddate>20040401</enddate><creator>Yu, Y.B</creator><creator>Wang, B.D</creator><creator>Wang, G.L</creator><creator>Li, W</creator><general>Springer</general><general>Springer Nature B.V</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>7QH</scope><scope>7ST</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FK</scope><scope>8FL</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KR7</scope><scope>L.-</scope><scope>L.0</scope><scope>L.G</scope><scope>L6V</scope><scope>LK8</scope><scope>M0C</scope><scope>M2P</scope><scope>M7P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><scope>7QO</scope><scope>7TG</scope><scope>H96</scope><scope>KL.</scope><scope>P64</scope></search><sort><creationdate>20040401</creationdate><title>Multi-person multiobjective fuzzy decision-making model for reservoir flood control operation</title><author>Yu, Y.B ; Wang, B.D ; Wang, G.L ; Li, W</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c405t-cd6a4b22e6a11f202ec563d6d0cfee0b30dfd5d84c1deaa537ea7742b56aaf973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Decision making</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Flood control</topic><topic>flood control operation</topic><topic>Floods</topic><topic>Freshwater</topic><topic>fuzzy logic</topic><topic>hydrologic models</topic><topic>Hydrology. 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Academic</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Water resources management</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Y.B</au><au>Wang, B.D</au><au>Wang, G.L</au><au>Li, W</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-person multiobjective fuzzy decision-making model for reservoir flood control operation</atitle><jtitle>Water resources management</jtitle><date>2004-04-01</date><risdate>2004</risdate><volume>18</volume><issue>2</issue><spage>111</spage><epage>124</epage><pages>111-124</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><coden>WRMAEJ</coden><abstract>By analyzing the present situation of reservoir flood control operation, this paper proposes multi-person multiobjective decision-making model for the problems of flood control operation. The model takes the influence of multiobjectives and experience and knowledge of decision-makers into account. In order to find an optimal alternative decided by multiple decision-makers from all the given alternatives, the relative optimal membership degree of every decision-maker to every alternative is first obtained and then the optimal membership degree of every decision-maker to every alternative is obtained which collects group preferences through two stages. The advantages of this model are simple and more adaptable to the practical problem. The model is demonstrated by application in Fengman Reservoir located in Songhua River Basin in China. Of course, this method can also be applied in other science fields.</abstract><cop>Dordrecht</cop><pub>Springer</pub><doi>10.1023/B:WARM.0000024705.63932.3c</doi><tpages>14</tpages></addata></record> |
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| subjects | Decision making Earth sciences Earth, ocean, space Exact sciences and technology Flood control flood control operation Floods Freshwater fuzzy logic hydrologic models Hydrology. Hydrogeology Reservoirs River basins Studies water Water resources watershed hydrology watershed management watersheds |
| title | Multi-person multiobjective fuzzy decision-making model for reservoir flood control operation |
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