Modeling and analysis of problems formulated as mathematical programs with uncertain parameter values
Presents a methodology for the modeling and analysis of problems formulated as mathematical programs with uncertain parameter values. The proposed approach differs from traditional sensitivity analysis is that parameters to be varied need not be identified initially, and that it is applicable even w...
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| creator | Wong, B.D. |
| description | Presents a methodology for the modeling and analysis of problems formulated as mathematical programs with uncertain parameter values. The proposed approach differs from traditional sensitivity analysis is that parameters to be varied need not be identified initially, and that it is applicable even when the number of uncertain parameters is large. The method also has a potential for providing information on the nature of the problem examined, which may not be available from studies based on a random selection of parameter values. This method provides an alternative modeling approach to parameters with uncertainties, and can be used either in conjunction with more traditional methods, or when those methods cannot be applied.< > |
| doi_str_mv | 10.1109/ISUMA.1993.366780 |
| format | Conference Proceeding |
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The proposed approach differs from traditional sensitivity analysis is that parameters to be varied need not be identified initially, and that it is applicable even when the number of uncertain parameters is large. The method also has a potential for providing information on the nature of the problem examined, which may not be available from studies based on a random selection of parameter values. This method provides an alternative modeling approach to parameters with uncertainties, and can be used either in conjunction with more traditional methods, or when those methods cannot be applied.< ></description><identifier>ISBN: 9780818638503</identifier><identifier>ISBN: 0818638508</identifier><identifier>DOI: 10.1109/ISUMA.1993.366780</identifier><language>eng</language><publisher>IEEE Comput. Soc. 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The proposed approach differs from traditional sensitivity analysis is that parameters to be varied need not be identified initially, and that it is applicable even when the number of uncertain parameters is large. The method also has a potential for providing information on the nature of the problem examined, which may not be available from studies based on a random selection of parameter values. This method provides an alternative modeling approach to parameters with uncertainties, and can be used either in conjunction with more traditional methods, or when those methods cannot be applied.< ></description><subject>Aggregates</subject><subject>Cost function</subject><subject>Design engineering</subject><subject>Information analysis</subject><subject>Mathematical model</subject><subject>Mathematical programming</subject><subject>Maximum likelihood estimation</subject><subject>Regression analysis</subject><subject>Scattering parameters</subject><subject>Uncertainty</subject><isbn>9780818638503</isbn><isbn>0818638508</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotUMtqwzAQFJRCS-oPaE_6AaeSJdnSMYQ-Agk9ND0HyVonKvIDSW7J31clGdgdZneYwyD0SMmSUqKeN59fu9WSKsWWrK4bSW5QoTJJKmsmBWF3qIjxm2RwLrig9wh2owXvhiPWg82j_Tm6iMcOT2E0HvqIuzH0s9cJ8j_iXqcT5OVa7f89x6Cz59elE56HFkLSbsCTzldIEPCP9jPEB3TbaR-huPIC7V9f9uv3cvvxtlmvtqWTKpVSWKI5MCOqVtCKK9MSa7ixzDYMsrSUStkqLmQnjbFNW5uakMpIwSx0nC3Q0yXWAcBhCq7X4Xy4VMH-AERnVzw</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Wong, B.D.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1993</creationdate><title>Modeling and analysis of problems formulated as mathematical programs with uncertain parameter values</title><author>Wong, B.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i89t-85d0a4e3b52c51249bc0db4bd3d73e49bd1188c9458f8bbd7c6b6002b853def43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Aggregates</topic><topic>Cost function</topic><topic>Design engineering</topic><topic>Information analysis</topic><topic>Mathematical model</topic><topic>Mathematical programming</topic><topic>Maximum likelihood estimation</topic><topic>Regression analysis</topic><topic>Scattering parameters</topic><topic>Uncertainty</topic><toplevel>online_resources</toplevel><creatorcontrib>Wong, B.D.</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>Wong, B.D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Modeling and analysis of problems formulated as mathematical programs with uncertain parameter values</atitle><btitle>1993 (2nd) International Symposium on Uncertainty Modeling and Analysis</btitle><stitle>ISUMA</stitle><date>1993</date><risdate>1993</risdate><spage>126</spage><epage>128</epage><pages>126-128</pages><isbn>9780818638503</isbn><isbn>0818638508</isbn><abstract>Presents a methodology for the modeling and analysis of problems formulated as mathematical programs with uncertain parameter values. The proposed approach differs from traditional sensitivity analysis is that parameters to be varied need not be identified initially, and that it is applicable even when the number of uncertain parameters is large. The method also has a potential for providing information on the nature of the problem examined, which may not be available from studies based on a random selection of parameter values. This method provides an alternative modeling approach to parameters with uncertainties, and can be used either in conjunction with more traditional methods, or when those methods cannot be applied.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ISUMA.1993.366780</doi><tpages>3</tpages></addata></record> |
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| identifier | ISBN: 9780818638503 |
| ispartof | 1993 (2nd) International Symposium on Uncertainty Modeling and Analysis, 1993, p.126-128 |
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| language | eng |
| recordid | cdi_ieee_primary_366780 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aggregates Cost function Design engineering Information analysis Mathematical model Mathematical programming Maximum likelihood estimation Regression analysis Scattering parameters Uncertainty |
| title | Modeling and analysis of problems formulated as mathematical programs with uncertain parameter values |
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