Fuzzy-based DEA reliability modeling approach for aircraft engine protection systems

The task to design a reliable engine protection system with highest reliability while considering system cost, weight and volume constraints under uncertain environments is very challenging. In this study, a fuzzy-based data envelopment analysis (DEA) reliability modeling approach is developed for designing reliable aircraft engine protection systems. First, a fuzzy programming problem is developed and a heuristic is constructed for generating a group of several most satisfactory solutions. Then, an efficiency design indicator is defined and DEA method is applied for completely ranking those selected satisfactory solutions. Results from this study suggest that the most satisfactory solution obtained from the fuzzy programming problem is necessarily equal to the most efficiency solution by the DEA method. The proposed approach can be expected to be a promising approach for designing reliable aircraft engine protection systems under uncertain environments.