Abstract
Failure Mode and Effect Analysis (FMEA) is a useful risk assessment tool used to identify, evaluate, and eliminate potential failure modes in numerous fields to improve security and reliability. Risk evaluation is a crucial step in FMEA and the Risk Priority Number (RPN) is a classical method for risk evaluation. However, the traditional RPN method has deficiencies in evaluation information, risk factor weights, robustness of results, etc. To overcome these shortcomings, this paper aims to develop a new risk evaluation in FMEA method. First, this paper converts linguistic evaluation information into corresponding interval-valued intuitionistic fuzzy numbers (IVIFNs) to effectively address the uncertainty and vagueness of the information. Next, different priorities are assigned to experts using the interval-valued intuitionistic fuzzy priority weight average (IVIFPWA) operator to solve the problem of expert weight. Then, the weights of risk factors are subjectively and objectively determined using the expert evaluation method and the deviation maximization model method. Finally, the paper innovatively introduces the interval-valued intuitionistic fuzzy weighted averaging (IVIFWA) operator, Tchebycheff Metric distance, and the interval-valued intuitionistic fuzzy weighted geometric (IVIFWG) operator into the ratio system, the reference point method, and the full multiplication form of MULTIMOORA sub-methods to optimize the information aggregation process of FMEA. The extended IVIF-MULTIMOORA method is proposed to obtain the risk ranking order of failure modes, which will help in obtaining more reasonable and practical results and in improving the robustness of results. The case of the Middle Route of the South-to-North Water Diversion Project’s operation risk is used to demonstrate the application and effectiveness of the proposed FMEA framework.
Highlights
The Failure Mode and Effect Analysis (FMEA) method was first proposed in the 1960s [1], and it has been widely used to ensure safe and stable production and operation in the aerospace industry, electric power industry, nuclear industry, and handicraft industry, etc. [2,3,4]
Different priorities are assigned to experts using the interval-valued intuitionistic fuzzy priority weight average (IVIFPWA) operator to solve the problem of expert weight
To verify the feasibility and effectiveness of the method proposed in this paper, the risk ranking results for failure modes using the IVIF-MULTIMOORA method are compared with the traditional
Summary
The Failure Mode and Effect Analysis (FMEA) method was first proposed in the 1960s [1], and it has been widely used to ensure safe and stable production and operation in the aerospace industry, electric power industry, nuclear industry, and handicraft industry, etc. [2,3,4]. (5) The robustness of a single decision-making method is relatively low It is easy for different failure modes to have the same risk priority value, making it is difficult to determine a risk ranking order, and the unreasonable information aggregation process will cause information loss. Most existing FMEA related research directly assigns weight to experts and risk factors, ignoring the importance of how weight affects the accuracy of research results To overcome these shortcomings, this paper aims to develop a new risk evaluation in FMEA using the MULTIMOORA method within the context of IVIFSs. First, this paper converts linguistic evaluation information into corresponding interval-valued intuitionistic fuzzy numbers (IVIFNs) to effectively address the uncertainty and vagueness of the information. The extended IVIF-MULTIMOORA method is proposed to obtain the risk ranking order of failure modes, which will help in obtaining more reasonable and practical results and in improving the robustness of results.
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