Failure Mode and Effect Analysis Method Based on a Distance Interval Number Operator

被引：0

作者：

Dong Y. ^{[1
]}

You J. ^{[1
]}

Duan C. ^{[2
]}

Lin H. ^{[3
]}

机构：

[1] School of Economics and Management, Tongji University, Shanghai

[2] School of Mechanical Engineering, Tongji University, Shanghai

[3] Business School, Yangzhou University, Yangzhou

来源：

Tongji Daxue Xuebao/Journal of Tongji University | 2023年 / 51卷 / 04期

关键词：

distance interval number operator; failure mode and effect analysis; interval number; intuitionistic fuzzy set;

D O I：

10.11908/j.issn.0253-374x.21329

中图分类号：

学科分类号：

摘要：

When the attribute value of the existing failure mode and effect analysis （FMEA） method is the intuitionistic fuzzy number and the risk degree is measured by deterministic distance operator，it is difficult for evaluation experts to accurately describe the related uncertainty problems. Therefore，first an intuitionistic fuzzy hybrid Euclidean distance interval number （IFHEDIN） operator and its excellent properties are proposed based on the study of the ordered weighted distance operator，the theory of interval number and the sorting method of interval number. Then，the uncertain IFHEDIN operator is constructed to improve the FMEA method so as to analyze the reliability of failure modes of products or systems，and to calculate and rank the risk levels at the same time. Finally，the effectiveness，the reliability and accuracy of the proposed approach are verified by the risk analysis and evaluation of failure mode in the actual hospital radiation tumor treatment process，which provides decision-making support for relevant medical diagnosis managers to deal with and control risks. © 2023 Science Press. All rights reserved.

引用

页码：633 / 642

页数：9

共 28 条

[11] MANDAL S, MAITI J., Risk analysis using FMEA：Fuzzy similarity value and possibility theory based approach［J］, Expert System with Applications, 41, 7, (2014)
[12] YE Yuexiang, Research on some problems of interval number multiple attribute decision making［D］, (2007)
[13] MOORSE R E., Interval analysis［M］, (1966)
[14] MOORSE R E., Methods and applications of interval analysis［M］, (1979)
[15] HUANG Zhili, LUO Jian, Relative similarity programming model for decision making objects with multiple criteria values as interval numbers［J］, Systems Engineering—Theory & Practice, 39, 3, (2019)
[16] Deqing LI, HAN Guozhu, ZENG Wenyi, Et al., Ranking method of interval numbers based on Boolean matrix［J］, Control and Decision, 31, 4, (2016)
[17] Jiang WU, HUANG Dengshi, An review on ranking methods of interval numbers［J］, System Engineering, 22, 8, (2004)
[18] Fengji GAO, Possibility degree and comprehensive priority of interval numbers［J］, Systems Engineering—Theory & Practice, 33, 8, (2013)
[19] CHEN Xiuming, LIU Yezheng, Multi-granular hesitant fuzzy linguistic term sets and their application in group recommedation ［J］, Systems Engineering—Theory & Practice, 36, 8, (2016)
[20] LIU Xiaodi, ZHU Jianjun, ZHANG Shitao, Et al., A novel hesitant fuzzy signed distance and its application［J］, Systems Engineering—Theory & Practice, 39, 2, (2019)

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