Mission Reliability Allocation Based on Interval-Hesitant Fuzzy Linguistic Term Sets

Reliability allocation, especially mission reliability allocation, is very important to system reliability design. Equal allocation method and scoring allocation method are the most commonly used methods in practical engineering. The former can only used for series system and simple system. The latter is more useful. However, it is difficult to give the accurate scores for experts because of the incompleteness and uncertainty of information, which has a great effect on the result. Therefore, a new system mission reliability allocation method based on the interval hesitant fuzzy linguistic term set was proposed. First, the interval hesitation fuzzy scoring data of expert was processed. Considering the consistency weights and empirical weights of expert opinions, respectively, the comprehensive expert weight was obtained. Then, mission reliability allocation methods based on the expert score above for different reliability logic relations including series system, parallel system, k/n system, and standby system, were given respectively. Finally, comparing the calculation results of the proposed method with the traditional method, an example was analyzed to verify the feasibility and effectiveness of the method.