Recognition method of airline fleet reliability based on index fuzzy segmentation and MULTIMOORA

被引：0
作者：
Xiong S. [1 ]
Chen Z. [2 ]
Chen Y. [1 ]
He Q. [1 ]
机构：
[1] College of Civil Aviation Safety Engineering, Civil Aviation Flight University of China, Guanghan
[2] School of Civil Engineering, Wuhan University, Wuhan
来源：
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS | 2019年 / 25卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Airline fleet; MOORA plus the full multiplicative form; Multiple attribute decision making; Pattern recognition; Reliability;
D O I：
10.13196/j.cims.2019.02.016
中图分类号：
学科分类号：
摘要：
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. © 2019, Editorial Department of CIMS. All right reserved.
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页码：431 / 438
页数：7
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