Abstract: To effectively recognize the reliability status of airline fleet,a novel recognition method was proposed on the basis of Index Fuzzy Segmentation (IFS) and MOORA plus the full Multiplicative form (MULTIMOORA).In view of the problem that the fuzzy nature of reliability level segmentation had been overlooked usually in the past research,IFS model was constructed based on the theory of fuzzy membership function.With the proposed IFS model,the problem of recognizing aircraft fleet reliability status was further adapted into the treatment of a prototypical multi-attribute decision making issue.The MULTIMOORA method with strong robustness was further adopted to legitimately recognize the reliability status of airline fleet.The effectiveness and feasibility of the proposed approach were demonstrated with a case study as well as a comparison,which highlighted a novel way of reliability status recognition to facilitate the management of aircraft fleet.

Key words: airline fleet, reliability, pattern recognition, multiple attribute decision making, MOORA plus the full multiplicative form

摘要：

为有效识别航空公司机队可靠性状态,提出一种基于指标模糊分割和MULTIMOORA的航空公司机队可靠性识别模型。考虑传统指标分割通常未能考量可靠性级别划分界限的模糊特性,基于模糊隶属度函数的思想构建了指标模糊分割模型,结合该模型将航空公司机队可靠性状态识别问题转化为多属性决策问题,并利用高鲁棒性的MULTIMOORA多属性决策方法合理寻求航空公司机队的可靠性状态级别。通过实例分析和对比分析表明,基于指标模糊分割和MULTIMOORA方法的航空公司机队可靠性状态识别模型具有较强的可行性和合理性,为航空公司机队可靠性状态识别提供了一种科学的方法。

关键词: 航空公司机队, 可靠性, 模式识别, 多属性决策, MULTIMOORA方法