Workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation

A technology with fuzzy intuition and reliability, applied in the direction of instruments, manufacturing computing systems, data processing applications, etc., can solve problems that are too simple, cannot be taken into account in decision-making factors, and affect evaluation results, so as to achieve accurate evaluation and improve the processing of uncertain information The ability and the effect of good application prospects

Pending Publication Date: 2020-02-07
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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Problems solved by technology

[0007] In the patent "CN106600077 A A Fuzzy TOPSIS Evaluation Method", the author fuzzes the expert's evaluation information through the fuzzy control method, and combines the weight of expert information contribution to calculate the Euler distance, and sorts the posting progress. This method The processing of expert information is too simple, and the hesitation of personnel in decision-making is not taken into account, resulting in inaccurate evaluation results
[0008] The method of intuitionistic fuzzy sets to realize multi-attribute decision-making has already been applied. In the patent "CN104812027A Network Selection Method for Multi-attribute Decision-Making Based on Intuitionistic Fuzzy Sets", the author uses the total deviation and the weight of each attribute, through the IFWA operator To calculate the optimal path of the ne

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  • Workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation
  • Workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation
  • Workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation

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[0036] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0037] The human factors reliability evaluation method of digital workshop based on SHEL and interval intuitionistic fuzzy evaluation includes the following steps, such as figure 1 Shown:

[0038] Step S101: Set up an evaluation team, establish a SHEL model for human factor analysis in the digital workshop, identify potential failure modes of human error, and determine risk assessment factors and quantitative evaluation algorithms for human failure;

[0039] In step S101, aiming at the characteristics of high degree of refinement and strict control of human errors in the digital workshop, a SHEL reliability model of the digital workshop is established, and four systems of the SHEL model are determined: L-S, L-H, L-E, and L-L, where L-S represents any For the software link, L-H indicates the human and hardware link, L-E indicates the human and environment lin...

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Abstract

The invention relates to a digital workshop human factor reliability evaluation method based on SHEL and interval intuition fuzzy evaluation, and belongs to the field of intelligent manufacturing. Themethod comprises the following steps: establishing an evaluation group, and establishing an SHEL model of digital workshop human factor analysis; applying a weighting operator to obtain subjective and objective weight vector tables of risk factors; calculating an interval intuitionistic fuzzy risk evaluation data set of the digital workshop human factor failure mode; constructing a weight key interval intuitionistic fuzzy positive ideal and an interval intuitionistic fuzzy negative ideal of the digital workshop human factor failure mode; respectively calculating the distance between the interval intuitionistic fuzzy positive ideal and the interval negative ideal, and calculating the relative fitting progress of each failure mode and the interval intuitionistic fuzzy positive ideal; and assessing and evaluating the human factor reliability level of the digital workshop by combining the quantitative indexes of the human factor failure mode risks. According to the method, the capabilityof processing uncertain information of the intuitionistic fuzzy set is improved, the human error fault of the digital workshop can be evaluated more accurately, and the method has a good application prospect.

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Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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