Optimization under fuzzy if-then rules using stochastic algorithms
作者： Jorge R Rodríguez , María R Méndez , Eugenio F Carrasco , None
DOI: 10.1016/S1570-7946(05)80152-X
关键词:
摘要: Abstract A new approach to optimization of processes described by fuzzy rules, in which the functional relationship between decision variables and objective function is not completely known, introduced this paper. It based on stochastic algorithms allows determine optimal values state optimize rules (parameters membership functions). Stochastic have many advantages like their robustness and, most cases, global convergence properties. Here, a algorithm (FICRS) was developed, being applied solution case stdy taken from recent literature.
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