Fuzzy Logic Approach for the Design of Six Sigma
نویسندگان
چکیده
This paper presents a Fuzzy logic based Design for Six Sigma (FLBDFSS) incorporating the traits of artificial intelligence and statistical techniques. In the identify phase of FLBDFSS, fuzzy relation measures between Customer Attributes and Engineering Characteristics as well as fuzzy correlation measures among ECs are determined with the aid of two Fuzzy Logic Controllers. These two measures are then used to establish the cumulative impact factor for ECs. In design phase, a transfer function is developed and optimized with the simulated annealing algorithm. In the validate phase, t-test is conducted for the validation of the design resulted in earlier phase.
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تاریخ انتشار 2014