dc.contributor.author |
Oltean, Gabriel |
|
dc.date.accessioned |
2021-09-15T06:55:15Z |
|
dc.date.available |
2021-09-15T06:55:15Z |
|
dc.date.issued |
2004 |
|
dc.identifier.citation |
Oltean, Gabriel. Multiobjective fuzzy optimization method. Timişoara: Editura Politehnica, 2004 |
en_US |
dc.identifier.uri |
http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Multiobjective%20fuzzy%20optimization%20method&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo |
|
dc.description.abstract |
The paper proposes a new multiobjective optimization method, based on fuzzy techniques. The method performs a real multiobjective optimization, every parameter modification taking into account the unfulfillment degrees of all the requirements. It uses fuzzy sets to define fuzzy objectives and fuzzy systems to compute new parameter values. The strategy to compute new parameter values uses local gradient information and encapsulates human expert thinking. After introducing our optimization method, we optimize the design of a finite response filter. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Timişoara : Editura Politehnica |
en_US |
dc.relation.ispartofseries |
Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 220-225 |
|
dc.subject |
Multiobjective |
en_US |
dc.subject |
Fuzzy objective |
en_US |
dc.subject |
Fuzzy systems |
en_US |
dc.subject |
Population of solutions |
en_US |
dc.title |
Multiobjective fuzzy optimization method [articol] |
en_US |
dc.type |
Article |
en_US |