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Interval type-2 fuzzy inference-based failure mode and effect analysis model in a group decision-making setting
Kybernetes ( IF 2.5 ) Pub Date : 2021-07-06 , DOI: 10.1108/k-02-2021-0152
İlker Gölcük 1
Affiliation  

Purpose

This paper proposes an integrated IT2F-FMEA model under a group decision-making setting. In risk assessment models, experts' evaluations are often aggregated beforehand, and necessary computations are performed, which in turn, may cause a loss of information and valuable individual opinions. The proposed integrated IT2F-FMEA model aims to calculate risk priority numbers from the experts' evaluations and then fuse experts' judgments using a novel integrated model.

Design/methodology/approach

This paper presents a novel failure mode and effect analysis (FMEA) model by integrating the fuzzy inference system, best-worst method (BWM) and weighted aggregated sum-product assessment (WASPAS) methods under interval type-2 fuzzy (IT2F) environment. The proposed FMEA approach utilizes the Mamdani-type IT2F inference system to calculate risk priority numbers. The individual FMEA results are combined by using integrated IT2F-BWM and IT2F-WASPAS methods.

Findings

The proposed model is implemented in a real-life case study in the furniture industry. According to the case study, fifteen failure modes are considered, and the proposed integrated method is used to prioritize the failure modes.

Originality/value

Mamdani-type singleton IT2F inference model is employed in the FMEA. Additionally, the proposed model allows experts to construct their membership functions and fuzzy rules to capitalize on the experience and knowledge of the experts. The proposed group FMEA model aggregates experts' judgments by using IT2F-BWM and IT2F-WASPAS methods. The proposed model is implemented in a real-life case study in the furniture company.



中文翻译:

群决策环境中基于区间类型2模糊推理的失效模式和影响分析模型

目的

本文提出了一个群体决策设置下的集成 IT2F-FMEA 模型。在风险评估模型中,往往会预先汇总专家的评价,并进行必要的计算,这反过来可能会导致信息和有价值的个人意见的丢失。提议的集成 IT2F-FMEA 模型旨在根据专家的评估计算风险优先级数,然后使用新的集成模型融合专家的判断。

设计/方法/方法

本文通过在区间类型 2 模糊 (IT2F) 环境下集成模糊推理系统、最佳最差方法 (BWM) 和加权聚合总和-产品评估 (WASPAS) 方法,提出了一种新的故障模式和影响分析 (FMEA) 模型。提议的 FMEA 方法利用 Mamdani 型 IT2F 推理系统来计算风险优先级数。单独的 FMEA 结果通过使用集成的 IT2F-BWM 和 IT2F-WASPAS 方法进行组合。

发现

提议的模型在家具行业的实际案例研究中实施。根据案例研究,考虑了 15 种故障模式,并使用所提出的集成方法对故障模式进行优先排序。

原创性/价值

FMEA 中采用了 Mamdani 型单例 IT2F 推理模型。此外,所提出的模型允许专家构建他们的隶属函数和模糊规则,以利用专家的经验和知识。建议的组 FMEA 模型通过使用 IT2F-BWM 和 IT2F-WASPAS 方法聚合专家的判断。提议的模型在家具公司的实际案例研究中实施。

更新日期:2021-07-04
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