Using of Genetic Algorithms in Stock Control with Fuzzy Logic
Yu Shu · Zhongguo guanli kexue · 2000
In this paper, based on the model of stock control with fuzzy logic, we introduce a new method through which fuzzy contol rules can be got and evaluated with Genetic Algorithms. We name the method as Studying Algorithms of fuzzy rules by two steps. Through the method, the fuzzy control rules can be got and evaluated automatically. With an example, we discuss the usage of this method in stock control and other questions.