Multicriteria optimization problems in fuzzy random decision systems
This paper first presents multicriteria fuzzy random expected value models via expected value operators, and variance of fuzzy random variables. Then, three types of minimization (maximization) fuzzy random expected value models are built based on a decision-maker's preference or intention. Aft...
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| creator | Yan-Kui Liu Yan-Ju Chen |
| description | This paper first presents multicriteria fuzzy random expected value models via expected value operators, and variance of fuzzy random variables. Then, three types of minimization (maximization) fuzzy random expected value models are built based on a decision-maker's preference or intention. After that, the interconnections among the three types of optimization problems are discussed. At the end of the paper, a numerical example is provided to illustrate the modeling ideas of the proposed optimization problems. |
| doi_str_mv | 10.1109/ICMLC.2004.1382133 |
| format | Conference Proceeding |
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Then, three types of minimization (maximization) fuzzy random expected value models are built based on a decision-maker's preference or intention. After that, the interconnections among the three types of optimization problems are discussed. At the end of the paper, a numerical example is provided to illustrate the modeling ideas of the proposed optimization problems.</description><identifier>ISBN: 0780384032</identifier><identifier>ISBN: 9780780384033</identifier><identifier>DOI: 10.1109/ICMLC.2004.1382133</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer science ; Educational institutions ; Fuzzy systems ; Linear programming ; Mathematical model ; Mathematics ; Operations research ; Possibility theory ; Random variables ; Stochastic processes</subject><ispartof>Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. 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At the end of the paper, a numerical example is provided to illustrate the modeling ideas of the proposed optimization problems.</description><subject>Computer science</subject><subject>Educational institutions</subject><subject>Fuzzy systems</subject><subject>Linear programming</subject><subject>Mathematical model</subject><subject>Mathematics</subject><subject>Operations research</subject><subject>Possibility theory</subject><subject>Random variables</subject><subject>Stochastic processes</subject><isbn>0780384032</isbn><isbn>9780780384033</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2004</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotj8tKxDAYRgMiqOO8gG7yAq1_8neaZCn1NtDBja6HJE0g0htJZtE-vSPO2XybwweHkAcGJWOgnvbNoW1KDlCVDCVniFfkDoQElBUgvyHblH7gDKpdzdUteTmc-hxsDNnFoOk05zCEVecwjXSOk-ndkGgYqT-t60KjHrtpoJ2zIf0ZaUn5LNyTa6_75LaX3ZDvt9ev5qNoP9_3zXNbBCYwF9wKboApZWxXC6xk7So0spbCC-95tWO-VgZAeS46q7VyyJmRYIGhBqZxQx7_f4Nz7jjHMOi4HC-h-Asvskoj</recordid><startdate>2004</startdate><enddate>2004</enddate><creator>Yan-Kui Liu</creator><creator>Yan-Ju Chen</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2004</creationdate><title>Multicriteria optimization problems in fuzzy random decision systems</title><author>Yan-Kui Liu ; Yan-Ju Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i173t-2c72b0199bcd673486e43b8687f7ff2451f69b009f27dcaa9e321b80c013a01a3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2004</creationdate><topic>Computer science</topic><topic>Educational institutions</topic><topic>Fuzzy systems</topic><topic>Linear programming</topic><topic>Mathematical model</topic><topic>Mathematics</topic><topic>Operations research</topic><topic>Possibility theory</topic><topic>Random variables</topic><topic>Stochastic processes</topic><toplevel>online_resources</toplevel><creatorcontrib>Yan-Kui Liu</creatorcontrib><creatorcontrib>Yan-Ju Chen</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>Yan-Kui Liu</au><au>Yan-Ju Chen</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Multicriteria optimization problems in fuzzy random decision systems</atitle><btitle>Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826)</btitle><stitle>ICMLC</stitle><date>2004</date><risdate>2004</risdate><volume>4</volume><spage>2053</spage><epage>2058 vol.4</epage><pages>2053-2058 vol.4</pages><isbn>0780384032</isbn><isbn>9780780384033</isbn><abstract>This paper first presents multicriteria fuzzy random expected value models via expected value operators, and variance of fuzzy random variables. Then, three types of minimization (maximization) fuzzy random expected value models are built based on a decision-maker's preference or intention. After that, the interconnections among the three types of optimization problems are discussed. At the end of the paper, a numerical example is provided to illustrate the modeling ideas of the proposed optimization problems.</abstract><pub>IEEE</pub><doi>10.1109/ICMLC.2004.1382133</doi></addata></record> |
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| ispartof | Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826), 2004, Vol.4, p.2053-2058 vol.4 |
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| language | eng |
| recordid | cdi_ieee_primary_1382133 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Computer science Educational institutions Fuzzy systems Linear programming Mathematical model Mathematics Operations research Possibility theory Random variables Stochastic processes |
| title | Multicriteria optimization problems in fuzzy random decision systems |
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