A method for solving fuzzy de novo programming problem by genetic algorithms

This paper investigates how to solve optimal design problem of system reliability with fuzzy goal that is formulated as De Novo programming problem by genetic algorithms (GA). We propose an implementation of the GA for solving De Novo programming problem with fuzzy goal. The proposed approach has the flexibility that we can consider the fuzziness based on the DMʹs subjective judgement and the DM can design the system by distributing appropriate resources to each constraint.