An improved FMEA method based on interval intuitionistic fuzzy set and hybrid multi-criteria decision model

Abstract

The invention discloses an improved FMEA method based on an interval intuitionistic fuzzy set and a mixed multi-criterion decision model. In the first stage, an interval intuitionistic fuzzy network analysis method is used to determine the weight of risk factors, firstly, the network structure diagram of risk factors and sub-risk factors is formed, the interval intuitionistic fuzzy pair comparisonmatrix is constructed and the aggregation degree is calculated, then the local ranking vector is calculated to obtain the initial super-matrix and weighted super-matrix, and finally the weights of all sub-risk factors are determined. In the second stage, an interval intuitionistic fuzzy comprehensive proportional evaluation method is utilized to determine the risk order of all failure modes, theset interval intuitionistic fuzzy risk assessment matrix is constructed for the first time, then the matrix is standardized and weighted to calculate the total risk and risk degree of each failure mode, and finally the ranking of all failure modes is determined. The fuzziness and uncertainty of expert language evaluation is overcome effectively. the hierarchy and interrelation of risk factors areconsidered. Thus, the risk ranking of failure modes is more accurate.

Description

technical field [0001] The invention belongs to the technical field of reliability analysis, in particular to a method for improving FMEA risk assessment based on interval intuitionistic fuzzy sets and mixed multi-criteria decision-making model. Background technique [0002] Failure Mode and Effect Analysis (FMEA) is a systematic and forward-looking reliability analysis and safety assessment technology used to identify and eliminate potential failures and problems in systems, products, processes and services and errors in order to improve its reliability and security. The FMEA method analyzes the system to identify potential failure modes, failure causes and their impact on system performance, and evaluates the occurrence (Occurrence, O), severity (Severity, S) and detection (Detection) of each potential failure mode. ,D) Three risk factors, and use the Risk Priority Number (Risk Priority Number, RPN) to determine the risk of different failure modes, and then obtain the ris...

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Problems solved by technology

[0003] Although the FMEA method has its unique advantages in reliability analysis, it has exposed the following defects in actual application: (1) The traditional FMEA method uses the method of expert scoring to evaluate the risk level of the failure mode, but due to the Due to the complexity of the system and the ambiguity and uncertainty of human thinking, it is difficult for evaluation experts to accurately use specific values ​​to rate failure modes; (2) The traditional FMEA method assumes that all evaluation experts have the same scoring weight, but in practice , experts often score based on their own experience and knowledge, and have different understandings of the evaluation system, which will lead to a big difference between the final RPN value and the actual risk degree; When it comes to the degree, it simply multiplies the three risk factors, ignoring the relative importance of the risk factors, which will also affect the final failure mode risk assessment; (4) In different practical application scenarios, the traditional The three risk factors are difficult to fully reflect the risk degree of the failure mode in the real environment

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