A direct solution approach to fuzzy mathematical programs with fuzzy decision variables
► A novel approach is proposed to solve fuzzy mathematical programs with fuzzy decision variables. ► The proposed approach incorporates metaheuristics and fuzzy ranking functions. ► The proposed approach does not need any transformation process in solving a given fuzzy program. In this paper, a dire...
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| Veröffentlicht in: | Expert systems with applications 2012-02, Vol.39 (2), p.1972-1978 |
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| container_end_page | 1978 |
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| container_issue | 2 |
| container_start_page | 1972 |
| container_title | Expert systems with applications |
| container_volume | 39 |
| creator | Baykasoglu, Adil Gocken, Tolunay |
| description | ► A novel approach is proposed to solve fuzzy mathematical programs with fuzzy decision variables. ► The proposed approach incorporates metaheuristics and fuzzy ranking functions. ► The proposed approach does not need any transformation process in solving a given fuzzy program.
In this paper, a direct solution approach is presented for solving fuzzy mathematical programming problems with fuzzy decision variables. In the proposed approach, a fuzzy ranking procedure for fuzzy numbers and a meta-heuristic algorithm is employed. A basic example is presented in the paper. It has been observed that fuzzy mathematical programs with fuzzy decision variables can be solved effectively by employing direct solution approaches which are based on fuzzy ranking procedures and meta-heuristics. |
| doi_str_mv | 10.1016/j.eswa.2011.08.047 |
| format | Article |
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In this paper, a direct solution approach is presented for solving fuzzy mathematical programming problems with fuzzy decision variables. In the proposed approach, a fuzzy ranking procedure for fuzzy numbers and a meta-heuristic algorithm is employed. A basic example is presented in the paper. It has been observed that fuzzy mathematical programs with fuzzy decision variables can be solved effectively by employing direct solution approaches which are based on fuzzy ranking procedures and meta-heuristics.</description><subject>Expert systems</subject><subject>Fuzzy</subject><subject>Fuzzy decision variables</subject><subject>Fuzzy logic</subject><subject>Fuzzy mathematical programming</subject><subject>Fuzzy set theory</subject><subject>Heuristic methods</subject><subject>Mathematical analysis</subject><subject>Mathematical models</subject><subject>Meta-heuristics</subject><subject>Particle swarm optimization</subject><subject>Ranking</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp9kE1PwzAMhiMEEuPjD3DqDS4tdtImqcRlQnxJSFxAHKM0dVmmbh1JB9p-PZnGeRf74Oe17IexK4QCAeXtvKD4awsOiAXoAkp1xCaolcilqsUxm0BdqbxEVZ6ysxjnAKgA1IR9TrPWB3JjFod-PfphmdnVKgzWzbJxyLr1drvJFnacUSre2T5Lw69gFzH79ePsH2jJ-bjL_tjgbdNTvGAnne0jXf73c_bx-PB-_5y_vj293E9fcydkNeauK0XHO9vpRuhGKRBEEuuqqRUgJwQlkJRtK8mpLbXsuLPc8aYEyZuqbcU5u97vTWd9rymOZuGjo763SxrW0dRSaC01lom8OUgmIQhVxRETyveoC0OMgTqzCn5hw8YgmJ1vMzc732bn24A2yXcK3e1DlN798RRMdJ6WjvZ-TTv4Q_E_U0iKfQ</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>Baykasoglu, Adil</creator><creator>Gocken, Tolunay</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20120201</creationdate><title>A direct solution approach to fuzzy mathematical programs with fuzzy decision variables</title><author>Baykasoglu, Adil ; Gocken, Tolunay</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c365t-cf43f2faf8b38b7703ee6195b97012e10731e7ad562ed486f2ca2c2b4062b5dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Expert systems</topic><topic>Fuzzy</topic><topic>Fuzzy decision variables</topic><topic>Fuzzy logic</topic><topic>Fuzzy mathematical programming</topic><topic>Fuzzy set theory</topic><topic>Heuristic methods</topic><topic>Mathematical analysis</topic><topic>Mathematical models</topic><topic>Meta-heuristics</topic><topic>Particle swarm optimization</topic><topic>Ranking</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Baykasoglu, Adil</creatorcontrib><creatorcontrib>Gocken, Tolunay</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Baykasoglu, Adil</au><au>Gocken, Tolunay</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A direct solution approach to fuzzy mathematical programs with fuzzy decision variables</atitle><jtitle>Expert systems with applications</jtitle><date>2012-02-01</date><risdate>2012</risdate><volume>39</volume><issue>2</issue><spage>1972</spage><epage>1978</epage><pages>1972-1978</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>► A novel approach is proposed to solve fuzzy mathematical programs with fuzzy decision variables. ► The proposed approach incorporates metaheuristics and fuzzy ranking functions. ► The proposed approach does not need any transformation process in solving a given fuzzy program.
In this paper, a direct solution approach is presented for solving fuzzy mathematical programming problems with fuzzy decision variables. In the proposed approach, a fuzzy ranking procedure for fuzzy numbers and a meta-heuristic algorithm is employed. A basic example is presented in the paper. It has been observed that fuzzy mathematical programs with fuzzy decision variables can be solved effectively by employing direct solution approaches which are based on fuzzy ranking procedures and meta-heuristics.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2011.08.047</doi><tpages>7</tpages></addata></record> |
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| ispartof | Expert systems with applications, 2012-02, Vol.39 (2), p.1972-1978 |
| issn | 0957-4174 1873-6793 |
| language | eng |
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| source | Access via ScienceDirect (Elsevier) |
| subjects | Expert systems Fuzzy Fuzzy decision variables Fuzzy logic Fuzzy mathematical programming Fuzzy set theory Heuristic methods Mathematical analysis Mathematical models Meta-heuristics Particle swarm optimization Ranking |
| title | A direct solution approach to fuzzy mathematical programs with fuzzy decision variables |
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