Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment-Reference-Cited by-同舟云学术

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Failure mode and effect analysis with ORESTE method under large group probabilistic free double hierarchy hesitant linguistic environment

Published:2024-01 Issue: Volume:59 Page:102353
ISSN:1474-0346
Container-title:Advanced Engineering Informatics
language:en
Short-container-title:Advanced Engineering Informatics

Author:

Wan Xiaoxue,Cen Lihui,Yue Weichao,Xie Yongfang,Chen Xiaofang,Gui Weihua

Funder

Major Science and Technology Projects in Yunnan Province

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Hunan Provincial Innovation Foundation for Postgraduate

Fundamental Research Funds for Central Universities of the Central South University

Publisher

Elsevier BV

Reference38 articles.

1. A fuzzy rough number extended AHP and VIKOR for failure mode and effects analysis under uncertainty;Zhu;Adv. Eng. Inform.,2022

2. A new model for failure mode and effect analysis integrating linguistic Z-numbers and projection method;Huang;IEEE Trans. Fuzzy Syst.,2021

3. Improving risk evaluation in FMEA with cloud model and hierarchical TOPSIS method;Liu;IEEE Trans. Fuzzy Syst.,2019

4. A new linguistic preference relation-based approach for failure mode and effect analysis with dynamic consensus reaching process;Shi;Inform. Sci.,2022

5. A manufacturing failure mode and effect analysis based on fuzzy and probabilistic risk analysis;Gul;Appl. Soft Comput.,2020

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1. Hierarchical construction and application of machining domain knowledge graph based on as-fabricated information model;Advanced Engineering Informatics;2024-10

2. Multi-generator adversarial dynamic spatial–temporal shapelet network for anode effect prediction in aluminum electrolysis process;Advanced Engineering Informatics;2024-10

3. PKG-DTSFLN: Process Knowledge-guided Deep Temporal–spatial Feature Learning Network for anode effects identification;Journal of Process Control;2024-06

4. Multi-criteria decision-making based on the combination of interval-valued hesitant fuzzy information and ORESTE method;2024-05-06

5. Prior knowledge-augmented unsupervised shapelet learning for unknown abnormal working condition discovery in industrial process;Advanced Engineering Informatics;2024-04

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