Demirhan, MelekÖzdamar, Linet2014-11-052014-11-051999-081063-6706http://hdl.handle.net/11413/808In global optimization, adaptive partitioning algorithms (APA) operate on the basis of partitioning the feasible region into subregions, sampling and evaluating each subregion, and selecting one or more subregions for repartitioning, The purpose of the repartitioning process is to locate a narrow neighborhood around the global optimum. In this correspondence, He propose to use a fuzzy approach in the assessment of subregions using random samples taken from these subregions. We discuss different types of uncertainties involved in APA and ne conclude that the use of a fuzzy approach in the assessment of subregions is in concurrence with APA's convergence property, We provide numerical results for the fuzzy approach on 13 test functions from the literature.en-USSoftwarefuzzy uncertaintyglobal optimizationprobabilistic uncertaintyadaptive partitioning algorithmsyazılımbulanık belirsizlikglobal optimizasyonolasılıklı belirsizlikadaptif bölümleme algoritmalarıArticle82167900010821679000102-s2.0-00325951572-s2.0-0032595157