Critical path for a grey interval project network
For systems analysis, uncertainty may exist in model parameters and input data. Those uncertainties can propagate through the analysis and generate uncertainties into systems analysis. Grey systems theory offers a method for incorporating uncertainties into systems analysis. According to grey system...
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creator | Song Zhongmin Yan Xizu |
description | For systems analysis, uncertainty may exist in model parameters and input data. Those uncertainties can propagate through the analysis and generate uncertainties into systems analysis. Grey systems theory offers a method for incorporating uncertainties into systems analysis. According to grey systems theory and the characteristics of interval plan network, this paper presents a method of the multiobjective making critical path. Examples are provided at the end to verify the feasibility of this method which combines subjective factors with objective factors. |
doi_str_mv | 10.1109/GSIS.2009.5408223 |
format | Conference Proceeding |
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Those uncertainties can propagate through the analysis and generate uncertainties into systems analysis. Grey systems theory offers a method for incorporating uncertainties into systems analysis. According to grey systems theory and the characteristics of interval plan network, this paper presents a method of the multiobjective making critical path. 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Examples are provided at the end to verify the feasibility of this method which combines subjective factors with objective factors.</description><subject>Intelligent networks</subject><subject>Intelligent systems</subject><subject>Probability distribution</subject><subject>Uncertainty</subject><subject>Upper bound</subject><issn>2166-9430</issn><isbn>1424449146</isbn><isbn>9781424449149</isbn><isbn>9781424449163</isbn><isbn>1424449162</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1T01PAjEUrFESAfcHGC_9A7u-fmzZHs1GkYTEA9zJa33VIrKk22j49y4B5zIzmbw3GcbuBVRCgH2crxarSgLYqtbQSKmuWGFnjdBSa22FUdds8m-0uWFjKYwprVYwYpPTnQUjrL5lRd9vYYCulZB2zESbYo4ed_yA-ZOHLnHkH4mOPO4zpZ9TkLot-cz3lH-79HXHRgF3PRUXnrL1y_O6fS2Xb_NF-7Qso4VcegSnvDJ-6EVpSCLNggpkgnbvjtAZGIR0NbhAzvmmsbpBG7AW4DWimrKH89tIRJtDit-YjpvLevUHLCBKLQ</recordid><startdate>200911</startdate><enddate>200911</enddate><creator>Song Zhongmin</creator><creator>Yan Xizu</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200911</creationdate><title>Critical path for a grey interval project network</title><author>Song Zhongmin ; Yan Xizu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-ca0b3c36c061a26e2ae7f3fe6f4bdbeab604bd2b50bfebbc88948a9fa510c4aa3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Intelligent networks</topic><topic>Intelligent systems</topic><topic>Probability distribution</topic><topic>Uncertainty</topic><topic>Upper bound</topic><toplevel>online_resources</toplevel><creatorcontrib>Song Zhongmin</creatorcontrib><creatorcontrib>Yan Xizu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Song Zhongmin</au><au>Yan Xizu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Critical path for a grey interval project network</atitle><btitle>2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)</btitle><stitle>GSIS</stitle><date>2009-11</date><risdate>2009</risdate><spage>697</spage><epage>701</epage><pages>697-701</pages><issn>2166-9430</issn><isbn>1424449146</isbn><isbn>9781424449149</isbn><eisbn>9781424449163</eisbn><eisbn>1424449162</eisbn><abstract>For systems analysis, uncertainty may exist in model parameters and input data. Those uncertainties can propagate through the analysis and generate uncertainties into systems analysis. Grey systems theory offers a method for incorporating uncertainties into systems analysis. According to grey systems theory and the characteristics of interval plan network, this paper presents a method of the multiobjective making critical path. Examples are provided at the end to verify the feasibility of this method which combines subjective factors with objective factors.</abstract><pub>IEEE</pub><doi>10.1109/GSIS.2009.5408223</doi><tpages>5</tpages></addata></record> |
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issn | 2166-9430 |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Intelligent networks Intelligent systems Probability distribution Uncertainty Upper bound |
title | Critical path for a grey interval project network |
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